Source:https://en.ktu.edu/news/computer-game-for-training-dementia-carers-will-be-accessible-online-for-free/ Reviewed by James Ives, M.Psych. (Editor)Feb 19 2019Group of Kaunas University of Technology (KTU), Lithuania information technology researchers together with colleagues from other countries have developed a computer game for dementia carers. In the game, the players experience various everyday situations, face and deal with the challenges and in such a way build knowledge and skills on how to care for dementia patients. The game will be freely available online; it is the first mover aimed at dementia carers, not just the patients.Dementia is becoming one of the most prevalent and burdensome diseases in aging nowadays society. It is being estimated that there will be 74.4 million people suffering from various forms of dementia in the world by 2030. Although some medications can alleviate the symptoms, there is no effective cure for the disease. Therefore, new non-pharmaceutical approaches, which would improve dementia patients’ quality of life, are being continuously tested and updated. Here, the main importance lies in the carer’s training and readiness to face various situations, caused and related to the disease.According to KTU Professor Rytis Maskeliunas, the leader of the IT team developing the software, there are many so-called “serious games” for dementia patients, which allow them to self-check the progress of their symptoms, related to their intellectual and motoric capacities. However, this is the first attempt to create a serious educational game based on a hands-on approach to train dementia carers.”Dementia is a complicated condition, which is gradually deteriorating, usually people lack knowledge and skills of how to properly care for the patient. In many cases, the carers are the family members of the patient who have no professional background in the field. On the other hand, professional carers often face the challenges connected to the workload and the variety of symptoms. Research shows that dementia carers often face anxiety, depression, helplessness and other psychological challenges”, says Prof Maskeliunas.The game is offering various situations and challenges, which are common in the everyday life of a dementia patient and his or her carer. Throughout the game, various basic life quality and psychological factors, such as hunger, hygiene, mood are being measured. The aim of the game is to keep the patient’s life quality as good as possible. The interface of the game is very simple and easy to use, one session lasts 30 minutes, during which several virtual days are passing. The game follows the interaction of the carer and the patient until the latter’s death.Related StoriesInterdisciplinary workgroup outlines what is known and unknown about paradoxical lucidityLiving a healthy lifestyle may help offset genetic risk of dementiaUse of statins linked to reduction of mortality risk in dementia patients”We wanted to create situations where a person can have authentic experiences, we aim to provoke the players’ feelings, to prepare them for real life. This doesn’t mean that we are portraying all difficult situations in detailed graphics. On contrary – the simple design of the animated game makes the player look into the real-life situations closely without unnecessary sensationalism”, explains Prof Maskeliunas.The game is designed both for experienced carers and for those, who are willing to take intuitive decisions. The player has several options – first to take the free online course (MOOC), designed for the training of the dementia carers, or to simply start playing and check the additional information when there is the need.Lithuanian researchers have already made the initial evaluation of the system with people caring for their elderly parents and with elderly persons themselves – both healthy and showing early signs of dementia. The results of the study revealed that the game was well assessed by carers and healthy elderly people, and especially well evaluated by dementia patients. Further testing of the system will be carried out in the assisted living facilities in Portugal, Greece, Italy and Sweden.According to Prof Maskeliunas, the initial results correspond to the overall research on the efficiency of serious educational games. The number of studies indicate that gamified approach is up to 30 per cent more efficient than traditional learning when it comes to retaining skills and knowledge. Also, it is more attractive for the learners – when the quality and amount of information is the same, up to 65 per cent of people choose to learn by playing games instead of reading or watching lectures. Serious games are being used for training skills in various lines of work, such as in virtually training workers to operate conveyor without stopping the production, or in introducing the spaces and machinery of a certain manufacturing plant.The development of the serious game for dementia patients’ carers is a part of iDO Project aimed at creating technology and innovation based training packages for dementia carers. The project is coordinated by Lund University (Sweden); The National Institute of Health and Science on Ageing (Italy), Athens Association of Alzheimer’s Disease and Related Disorders (Greece), Virtual Campus (Portugal), Tech4Care (Italy) and Kaunas University of Technology (Lithuania) are the partners of the project.
The British Society for Heart Failure, are a group of clinicians committed to beating heart failure. Our work is focused on raising awareness around heart failure, educating health care professionals of its importance and driving forward improvements in treatment and the way we deliver care. The key goal is to ensure people with heart failure can have a better quality of life and live for longer, at home and out of hospital. We are confident that by maintaining the focus on heart failure awareness, the delivery of excellent care irrespective of where patients live in the UK and supporting research and innovation we can look forward to a future where we can predict, prevent & cure heart failure, one patient at a time.Related StoriesCutting around 300 calories a day protects the heart even in svelte adultsStroke should be treated 15 minutes earlier to save lives, study suggestsTeam approach to care increases likelihood of surviving refractory cardiogenic shockBSH founding member and past President, Professor John Cleland, Glasgow University and Robertson Centre for Biostatistics summarize our ethos in a simple diagram which shows a distinct shift to better results and lives for those living with heart failure and in his recorded message (vignette on the USB memory stick).But, before we can fully realize our aims, there are many moving parts to coordinate and one of those is to reduce the inequality in care across the NHS for those with heart failure. There is wide variation in the standards and type of care people with heart failure receive. We have had an amazing response and engagement with our campaign for heart failure awareness week 2019 during which we released onto our twitter feed vignettes of BSH members giving their ‘hopes for heart failure’ #hopesforheartfailure. Equity of care is a resounding theme.Finally, current Chair of the Society Dr Paul Kalrahopes you appreciate the beauty of the rose you have received from the BSH. For us it encapsulates ‘matters of the heart’ with all the structural intricacy and vulnerability yet as this bud blossoms so does our hope for the future. Source:British Society for Heart Failure May 17 2019Nearly one million people in the UK are living with heart failure, and this is set to rise by 50% over the next couple of decades. Despite the incidence of heart failure being as high as the four most common cancers put together, awareness of the threat it poses is low and the need for support for those who live with it, is high along with its socio- and health economic impact. There is however hope and optimism in the advances we are making in understanding and treating the condition. read more
Related StoriesAMSBIO offers new, best-in-class CAR-T cell range for research and immunotherapyNanoparticles used to deliver CRISPR gene editing tools into the cellComprehensive cell atlas of the human liverHe goes on to explain that this is an important indication of the existence of a simple immunological memory based on NKs.Immunological memory can only work if there is a selection mechanism available that multiplies and then preserves the most effective cells for fighting an infection. “We show that in NKs – which are part of the evolutionary ancient, innate immune system – the quantity of receptor alone is a sufficient criterion to drive selection at a simple level,” outlines Buchholz. This finding could also be significant for humans, since human NKs possess an equivalent receptor, which plays an important role during CMV infection.Fluorescent protein barcodeThe appropriate tool to track individual NKs in living organisms was developed by Grassmann, together with medical student Ludwig Pachmayr, within the context of TUM’s “Translational Medicine” doctoral program: A barcode consisting of fluorescent proteins enabled the researchers for the first time to differentiate and track up to 30 individual NKs and their descendants. Next, the researchers are keen to find out how NKs transmit the information about receptor quantity to their descendants. NKs are considered a possible alternative to T cells for immunotherapy of infections and tumor diseases.Source:http://www.tum.de/nc/en/about-tum/news/press-releases/details/article/35474/Journal reference:Grassmann, S. et al. (2019) Distinct Surface Expression of Activating Receptor Ly49H Drives Differential Expansion of NK Cell Clones upon Murine Cytomegalovirus Infection. Immunity. doi.org/10.1016/j.immuni.2019.04.015. Reviewed by James Ives, M.Psych. (Editor)Jun 4 2019Natural killer cells are part of the innate immune system. Their role is to detect virus-infected cells and destroy them. When an infection is detected, a small subset of the most effective killer cells is identified and selectively expanded – as a team from the Technical University of Munich (TUM) has now been able to show for the first time. This could represent a simple and evolutionary ancient form of immunological memory.More than half of the global population is infected with cytomegalovirus (CMV), which remains in the body for life. Normally, these infections do not produce any symptoms. Together with T cells, natural killer cells (NKs) effectively keep the virus in check, although it can cause serious illnesses in people with a weakened immune system. NKs possess surface molecules that identify CMV-infected cells, such as the receptor Ly49H in mice. It is known that NKs equipped with this receptor (Ly49H-NKs) are particularly effective at destroying CMV-infected cells.Quantity of receptors determines effectivenessDr. Veit Buchholz, research group leader at TUM’s Institute of Medical Microbiology, Immunology and Hygiene, and his colleague Dr. Simon Grassmann set out to determine what exactly happens to these Ly49H-NKs during a CMV infection. To do this, they tracked immune responses derived from individual Ly49H-NKs in CMV-infected mice.They found that replication of individual Ly49H NKs was extremely varied. This variation correlated with distinct surface expression levels of Ly49H itself. Cells with higher Ly49H expression expanded more and were thus able to combat CMV more effectively. This trait seemed to be heritable, with the descendants of an NK resembling their “parent” cell in terms of Ly49H receptor levels. Inheritance of quantitative traits such as this had not previously been observed in NKs.Hint for “ancient” immunological memory The really interesting aspect was that, even after the peak of the immune response, killer cells expressing high amounts of Ly49H remained detectable at elevated numbers.”Dr. Simon Grassmann read more
Reviewed by James Ives, M.Psych. (Editor)Jul 9 2019Crying is, for babies, the earliest way of expressing and communicating needs like hunger, pain, discomfort or tiredness. Apart from that, the cry is an acoustic signal containing information that provides insights into the medical status of an infant. Much research has been conducted to explore the acoustic properties of infant cries and the potential to identify differences in those properties between healthy and non-healthy cries, using computational models and algorithms as well as by human listeners. Although the previous researches did not examine sufficiently to see if human listeners are able to differentiate not only between healthy and non-healthy cries but also between different types of pathologies and a comparison of the classification skills of computational models in contrast to the skills of human listeners.The authors of the paper analyzed and compared the ability of human listeners and automatic classification models to rate the health state of infants by their crying. During the experiment the listeners, such as naïve listeners (students and parents) and expert listeners (nurses/midwives and therapists), were trained to auditorily discriminate the cries of healthy infants, as well as infants with various pathologies like hearing impairment (HI), cleft-lip-and palate (CLP), asphyxia (AS), laryngomalacia (LA), brain damage (BD), etc . After training, the listeners rated cries of infants with different health states and their rating skills were compared to the classification skills of computation models.Generally the infant cry classification can be performed in two ways: computational classification of cries or auditory discrimination by human listeners. This article compares both of them. During the experiment a total number of 120 participants were divided into the 4 groups: naïve listeners (group 1), parents (group 2), nurses/midwives (group 3) and therapists (group 4).Based on the following inclusion and exclusion criteria, these groups were chosen to capture listeners with varying experience in hearing infant cries:a) Naïve listeners: no experience in hearing infant cryingb) Parents: frequent long-term contact to a limited, familiar group of healthy infantsc) Nurses, midwives: frequent short-term contact to many healthy and rare contact to non-healthy infantsd) Therapists: frequent long-term contact to many non-healthy infantsAll participants were female and German without hearing impairments.Related StoriesResearch team to create new technology for tackling concussionResearch sheds light on sun-induced DNA damage and repairWearing a hearing aid may mitigate dementia riskAll listeners were trained in hearing cries of healthy infants and cries of infants suffering from cleft-lip-and-palate, hearing impairment, laryngomalacia, asphyxia and brain damage. After training, a listening experiment was performed by allocating 18 infant cries to the cry groups. All infant cry samples used in this study were taken from a dataset of infant cries, created during research by authors on infant cry classification. The authors collected cry samples of 69 infants between 1 and 7 months of age, in total, 6 different infant groups were recorded: 31 infants were healthy, without any developmental disorders, 10 infants had an unilateral cleft-lip-and palate (CLP), 19 infants were hearing impaired (HI, threshold of -60dB hearing loss), 4 infants were suffering from laryngomalacia, 3 were asphyxiated infants and 2 infants had brain damage.The cries of the infants were recorded with a sampling rate of 48 kHz and 24-bit digital resolution on a Zoom H2n recorder. The Zoom H2n recorder features a built-in microphone. The microphone was held about 30 cm away from the infants’ mouths. The infants lay in a supine position during the recording. Recordings were made in similar environments. One full episode of crying was recorded for each infant. Recordings started with the first cry of the infant (using the H2n’s pre-recording function).Recordings were stopped when there was a 15 second pause with no crying. Each recording lasted about 10 to 30 seconds.The multiple supervised-learning classifications models used in the experiment were calculated on the basis of the cries’ acoustic properties. The accuracy of the models was compared to the accuracy of the human listeners.The study showed interesting results for using the infant cry as a screening instrument, the human hearing can only give the first hints to an existing pathology. The listeners were not able to identify various pathologies with a high accuracy by hearing the infants’ cry. However, human listeners acted better when selecting if the cries were healthy or not healthy.The highest precision in rating infant cries was achieved by computational supervised-learning models. These were able to rate healthy and non-healthy cries and were able to distinguish various pathologies with higher accuracy. Supervised-learning classification models performed significantly better than the human listeners when categorize infant cries. Source:De Gruyter PolandJournal reference:Fuhr, T. et al. (2019) Comparison of Supervised-Learning Models and Auditory Discrimination of Infant Cries for the Early Detection of Developmental Disorders / Vergleich von Supervised-Learning Klassifikationsmodellen und menschlicher auditiver Diskriminationsfähigkeit zur Unterscheidung von Säuglingsschreien mit kongenitalen Entwicklungsstörungen. International Journal of Health Professions. doi.org/10.2478/ijhp-2019-0003 read more
For instance, should the car avoid crashing into a pedestrian, even if it is going to lead to the death of the driver? How do you weigh the two different lives at risk? Do you program the car to save the occupants of the vehicle or those with whom it might collide?”I don’t know how to make that kind of decision. I don’t know that that decision is something the average person knows how to make. It needs a more careful approach and someone with more expertise needs to be involved. But it’s hard to see that there is that need, because everyone thinks they are an expert,” Stinson added.Individuals taking engineering and technology courses should be trained in ethics, she added. Barring that, companies working in AI could benefit from an in-house ethicist. Academic institutions are increasingly requiring engineers and computer scientists to take courses that touch on the subject. Although the question of ‘ethical machines’ is up for debate, the simple fact we can program them to perform acts that are right or wrong involves them in an “ethical game,” Stinson said.”Maybe we could program a machine to do the right thing more often than we would. But is there reason to fear? Sure. There are machines being used in the justice system in the United States, making decisions that maybe aren’t the right ones. We’re not sure how they are making those decisions and there’s no accountability to whose fault it is if they make the wrong decision,” she noted.For sentencing in particular, there are AI programs that help judges decide on what the right sentence should be for someone convicted of a crime. The algorithm is designed to make sentencing less biased by taking into account factors from the person’s past, what kind of neighbourhood they grew up in, what kind of people they knew, prior arrests, age of first involvement with police, etc.All of those things are not neutral pieces of information, Stinson said. Such AI programs have been criticized for reinforcing the stereotypes they were designed to avoid.”We don’t know what the dangers are. Part of worrying about the dangers is trying to predict what those might be, and to decide on what we value, and what kind of things we want to have happen, for the sake of convenience,” Stinson said.Tim Blackmore, a professor in the Faculty of Information and Media Studies, has taught 2001: A Space Odyssey to students for more than a decade. He echoed Stinson, noting the dangers of AI lie in the human element at play. For him, whatever form it takes in films or books, AI has always been an extension of the human.”Thinking machines are often portrayed as cognisant of their own existence and aware of existential issues. They are one of the many mirrors humans use to reflect what it is to be human,” Blackmore said.And that’s the nightmare.”Until now, it’s been a ‘machine that rules the world’ kind of nightmare. That comes out of the 1960s and is shaped very much by Vietnam, as well as the idea these mainframes, these big machines, were part of a worldview that was running us into an inhuman, determinist way of living that would lead to genocides,” he explained.But the threat today lies not in our vision of AI as some machine from the future that can outperform or conquer us.”We much less imagine WALL-E – the helper machine. But that’s much more it. It’s not the machines that are a problem; it’s the humans. People do bad things,” Blackmore noted, adding he is nervous about the “helper” machines we blindly embrace.”I’m worried about these disks and cylinders or whatever Amazon, Google or Facebook want to jam into our home next. People want this; it’s a gadget and it’s cool because it’s so hard to pick up your mobile phone and type something into it or speak into it. We’re going into the trough and we suck that stuff up, and then we’re going to have terabytes of data flying into pools where they could be scrubbed for everything. That data can be manipulated by AI agents who will be better and better at looking for how to game human beings,” he continued.”How this technology will develop so people can push people around – that is what tends to be bad news for us. The robot uprising is lower on my list.” Provided by University of Western Ontario Citation: Kubrick’s AI nightmare, 50 years later (2018, April 13) retrieved 18 July 2019 from https://phys.org/news/2018-04-kubrick-ai-nightmare-years.html Opinion: AI like HAL 9000 can never exist because real emotions aren’t programmable “I’m afraid, Dave.””Dave, my mind is going. I can feel it.”As HAL’s consciousness – or rather, his logic – fades, he dies singing Daisy Bell, the first song ‘sung’ by a real-world computer. With the threat removed, all is seemingly right again.Celebrating its 50th anniversary this month, Kubrick’s masterpiece has cast a shadow over the genre since its premiere. Its influence extends beyond depictions of space and space travel, touching more than Star Wars, Alien or Blade Runner.For example, its effect on our vision of artificial intelligence (AI) is palpable.Think of Amazon’s Alexa, who, like HAL, listens to whatever you say.But now, five decades later, have we evolved past Kubrick’s nightmare of a sentient, threatening machine? How has our understanding of, and relationship to, AI changed? Do we have a reason to fear the machines we program?For Catherine Stinson, who recently completed a postdoctoral fellowship at Western’s Rotman Institute of Philosophy, Kubrick’s vision, while much different from the present state of AI, is still a looming threat. The threat, however, is not the machine.”People thought about AI a lot differently back then, the danger being it was going to be an agent who would act differently than us, with different priorities than what we have,” she said.”That is less the worry now. It’s not going to be the one-on-one interactions (with a sentient machine) that we don’t know how to deal with. It’s going to be something we’ve put all our evil into, and now it’s off doing things that are an extension of the problems of humans – but on a grander scale we couldn’t have imagined. It’s not so much machines are different from us – it’s they are reproducing the problems of humans.”Part of the issue, Stinson explained, is humans are the ones programming AI. How can humans program ethical machines? Can machines be ethical? We see ourselves as being competent in making ethical decisions because we decide between right and wrong on a regular basis, she said. We rely on an instinct we know right from wrong in day-to-day situations.”But in more complicated situations that come up – like self-driving cars – it’s really difficult, even for someone who does have training in ethics, to design what the right thing to build into it is,” Stinson noted. As David Bowman – the surviving crew member aboard the Discovery One spacecraft in Stanley Kubrick’s 2001: A Space Odyssey – disassembles HAL 9000, the sentient computer pleads in an affectless, monotone voice: Credit: University of Western Ontario Explore further This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. read more
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. Integration of these technologies has enabled autonomous gypsum board installation in which HRP-5P handles and carries large, heavy objects at a simulated residential construction site independently.Specifically, this work involves the following series of operations.Generate a 3-D map of the surrounding environment, detect objects, and approach the workbench.Lean against the workbench, slide one of the stacked gypsum boards to separate it, and then lift it.While recognizing the surrounding environment, carry the gypsum board to the wall.Lower the gypsum board and stand it against the wall.Using high-precision AR markers, recognize and pick up a tool.Holding a furring strip to keep HRP-5P itself steady, screw the gypsum board into the wall. As a 182 cm, 101 kg humanoid robot, HRP-5P was built on HRP series technologies by incorporating new hardware technologies. Within the series, it has unsurpassed physical capabilities. Its robot intelligence comprises environmental measurement and object recognition, full-body motion planning and control, task description and execution management, and highly reliable systemization technologies. Housing the intelligence in this body has enabled autonomous gypsum board installation by the robot, which is a typical example of heavy labor at construction sites. The use of HRP-5P, as a development platform, in collaboration between industry and academia promises to accelerate R&D toward practical application of humanoid robots at building construction sites and in assembly of large structures such as aircraft and ships. Toyota unveils third-generation humanoid robot T-HR3 The declining birthrate in Japan is expected to cause serious labor shortages in construction and many other industries. It is imperative to solve this issue using robot technologies. These technologies also provide a compelling alternative to having construction workers at building sites, aircraft facilities, or shipyards perform heavy labor that is potentially hazardous. However, it has been difficult to make these large-scale construction sites suitable for robots, which has discouraged introduction of robots. Because humanoid robots physically resemble people, they can work without requiring environmental changes, possibly relieving workers of heavy labor.In the development of the HRP series, AIST has collaborated with several private-sector companies, including Kawada Industries Inc. (now Kawada Robotics Corp.), and has developed basic technologies for practical application. HRP-2 was capable of bipedal walking, lying down, standing up, walking on narrow paths, and other actions. HRP-3 could walk on slippery surfaces and tighten bolts on bridges by remote control. Disaster-response humanoid robot research underway at AIST since 2011 led to a revised version of HRP-2 with improved physical capabilities (such as limb length, range of motion, and joint output), which could walk on rough terrain, turn valves, and perform other tasks semi-autonomously based on 3-D environmental measurement. However, its physical capabilities were still insufficient for heavy labor such as gypsum board installation, and it lacked enough degree of freedom and sufficient movable range of joints to emulate human motion in complex environments. Toward this end, AIST pursued development of the humanoid robot, HRP-5P, with physical capabilities enabling it to substitute for people doing heavy labor. Credit: Advanced Industrial Science and Technology R&D on robot intelligence will be promoted using this platform, targeting an alternative source of autonomous manual labor at residential or office building sites, and in assembly of large structures such as aircraft and ships. This will compensate for labor shortages, free people from heavy labor, and help them focus on more high-value-added work. Explore further Provided by Advanced Industrial Science and Technology Researchers have developed a humanoid robot prototype, HRP-5P, intended to autonomously perform heavy labor or work in hazardous environments. A part of the development of HRP-5P was supported by R&D commissioned by the New Energy and Industrial Technology Development Organization (NEDO), “R&D on highly dependable humanoid robot systems that can work in unstructured environments” in “autonomous humanoid robots (innovative element robot technologies field)” of “R&D on next-generation core robot technologies,” and grant-in-aid for scientific research from the Japan Society for the Promotion of Science, “Targeting full-body motion planning based on environmental model acquisition that enables humanoid robots to adapt to unknown environments” (research project number JP17H07391).The humanoid robot prototype HRP-5P was developed with a robust body and advanced intelligence to work autonomously and provide an alternative source of heavy labor.At a height of 182 cm and weight of 101 kg, HRP-5P has a body with a total of 37 degrees of freedom: two in its neck, three in its waist, eight in its arms, six in its legs, and two in its hands. Except for the hands, this represents the most freedom of movement in the HRP series to date. Compared to the revised version of HRP-2, adding one degree of freedom to the waist and one to the base of the arms has enabled operations more closely resembling human motion. Accordingly, using both arms, HRP-5P can handle large objects such as gypsum boards (1820 × 910 × 10 mm, approx. 11 kg) or plywood panels (1800 × 900 × 12 mm, approx. 13 kg).To emulate human motion by the robot without as many degrees of freedom as people, the researchers ensured a wider movable range of joints in the hip and waist areas, where multiple joints are concentrated. For example, hip joints that flex and extend the legs have a range of motion of 140° in humans and 202° in HRP-5P (Fig. 1), and waist joints that turn the upper body have a range of motion of 80° in humans and 300° in HRP-5P. This enables work by the robot in a variety of postures, such as when deeply crouched with the upper body twisted.Joint torque and speed were approximately doubled on average relative to the revised HRP-2, by employing high-output motors, adding cooling to the drive mechanism, and adopting a joint drive system with certain joints featuring multiple motors. As a result, the robot can do work involving heavy loads, such as lifting a gypsum board from a stack. (Each arm of HRP-5P, extended horizontally, can bear a weight of 2.9 kg, compared to 1.3 kg for the revised version of HRP-2 and 0.9 kg for HRP-4.)Using head-mounted sensors, the robot constantly acquires 3-D measurements of the surrounding environment (at a frequency of 0.3 Hz). Even if the field of view is blocked by objects used in work, stored and updated measurement results enable execution of the walking plan while carrying a panel or correction of walking when the feet slip. (Fig. 2).Learning involves a convolutional neural network using a newly constructed image database of work objects. The robot can detect ten types of 2-D object regions at a high precision of 90 % or more even against low-contrast backgrounds or under dim lighting (Fig. 3).It was possible to build a highly reliable robot system and maintain the quality of large-scale software (with approx. 250,000 lines of code) by arranging a virtual test environment for the robot intelligence in the Choreonoid robot simulator and monitoring software regression for 24 hours. Figure 3. Example of object detection. Credit: Advanced Industrial Science and Technology Figure 4. Autonomous gypsum board installation by HRP-5P. Credit: Advanced Industrial Science and Technology Figure 2. Map of surrounding area (top) and walking plan (bottom). Credit: Advanced Industrial Science and Technology Citation: Development of a humanoid robot prototype, HRP-5P, capable of heavy labor (2018, November 16) retrieved 17 July 2019 from https://phys.org/news/2018-11-humanoid-robot-prototype-hrp-5p-capable.html HRP-5P appearance (left) and HRP-5P carrying an approx. 13 kg board (right). Credit: Advanced Industrial Science and Technology Furthermore, HRP-5P inherits the technologies of HRP series and utilizes patented technology of Honda Motor Co., Ltd. Figure 1. Bending forward (top) and with legs spread forward and back (bottom). Credit: Advanced Industrial Science and Technology read more