From The Robomechanics Lab At Carnegie Mellon University Via “TechXplore” at “Science X”: “A new design that equips robots with proprioception and a tail”
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4.7.23
Ingrid Fadelli
The proposed control and planning system helps robots safely navigate unexpected cliffs. When the robot’s proprioception senses that it has lost contact with the ground, the system quickly adjusts its steps to ensure a safe landing and lifts its leg to avoid getting stuck. Credit: Yang et al, Robomechanics Lab at CMU.
Researchers at Carnegie Mellon University (CMU)’s Robomechanics Lab recently introduced two new approaches that could help to improve the ability of legged robots to move on rocky or extreme terrains. These two approaches, outlined in a paper pre-published on arXiv, are inspired by the innate proprioception abilities and tail mechanics of animals.
“Our paper aims to bring legged robots from the ideal lab environments into real-world environments, where they may encounter challenging terrains such as rocky hills and curbs,” Yanhao Yang, one of the researchers who carried out the study, told Tech Xplore. “To achieve this, we drew inspiration from both animals and engineering principles.”
Many animals, including cats and other felines, are known to walk along their own footprints, as this allows them to ground themselves and maintain their stability on different terrains. Yang and his colleagues tried to replicate this behavior in robots, merging proprioception and motion planning techniques.
The techniques they used allow robots to “sense” the environment and move more reliably by gathering information about their own body’s position, actions and location. This capability, known as “proprioception,” overcomes the limitations of computer vision systems, which are known to be adversely impacted by sensor noise, obstacles in the environment, light reflections on nearby objects, and poor lighting conditions.
Animals and humans are innately born with proprioception, yet most existing robots make sense of their surrounding environment using the data provided by vision systems. Instead of using vision systems, which rely on cameras, lidar technology and other external sensors, Yang and his colleagues propose the use of data collected by sensors integrated inside the robot, such as motors, encoders and inertial measurement devices.
Proprioception and Tail Control Enable Extreme Terrain Traversal by Quadruped Robots.
“This helps the robot detect when it slips or falls, and adjust its movements to avoid tipping over,” Yang said. “The main advantage of this system is that it’s more robust to environmental noise like obstacles, reflections, or lighting conditions. The challenge is to make correct control and planning decisions under uncertainty when the proprioception senses an accident.”
In addition to their proposed proprioception system, the researchers created a computational model that allows robots to control an artificial tail, similarly to how animals move their tail when navigating environments. Many animals, including squirrels and cats, use their tail to keep their balance when jumping or hopping onto surfaces.
“We noticed that animals use their tails to assist their agile locomotion, but most robots do not have tails,” Yang said “For example, cheetahs use their tails to achieve rapid acceleration, deceleration, and quick turns, while squirrels use their furry tails to balance when jumping between branches. We adapted this idea by adding a tail to our quadruped robots, which helps balance when the robot misses a foothold or falls off.”
Yang and his colleagues also created a control system that allows a legged robot’s artificial tail to work in coordination with its legs, helping it to retain its balance even when one or more of its legs are lifted off the ground. This can significantly improve the robot’s navigation in rough or uneven terrains, while also maximizing its efficiency in narrow or small spaces.
Yang and his colleagues evaluated their motion planning approaches in a series of simulations. Their findings are highly promising, as their bio-inspired proprioception and tail control methods allowed simulated legged robots to reduce unexpected slips and falls, while also improving their ability to reliably move in extreme and changing terrains.
The proposed approach further improves the robot’s ability to navigate extreme terrain by adding a tail that helps balance the body when the legs are off the ground. The controller produces a conic motion for the tail to make it as effective as possible within the limited rotation angles. Credit: Yang et al, Robomechanics Lab at CMU.
These new motion planning methods could be applied and tested on real legged robots, potentially allowing them to navigate challenging environments more reliably, reducing collisions and falls. This could make these robots better equipped to successfully complete search & rescue missions, environmental monitoring operations and other real-world tasks that entail moving on uneven or challenging terrains.
“One of our main goals for future research is to test our proposed method on actual hardware,” Yang said. “This will be a challenge because we need to accurately estimate the state and contact information, which are crucial for the proprioception and control of the robot.”
In their next works, Yang and his colleagues also plan to improve how their framework models and controls the tails of robots. This could further reduce collisions, including those between the tail and other parts of the robot’s body or the environment.
“Another area of improvement is to extend the method to more complex terrains, such as narrow ravines or stepping stones,” Yang added. “Currently, our approach assumes relatively simple terrain variations, but on more challenging terrains, the robot’s legs may trip or hang. In these cases, our controller will still try to lower the robot’s body to maintain stability, but we can further improve this by adding more events to the gait planning process.”
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The Robomechanics Lab is working to take robots out of the lab and factory and into challenging real world environments, such as rocky hills and cluttered houses. We use the word “robomechanics” to mean the study of the mechanics of how a robot interacts with an environment, analogous to the field of biomechanics for natural systems. Common themes that arise in our research include modeling and planning for changing contact conditions, developing systems that are inherently robust to uncertainty, and enabling more dynamic robot behaviors. The Robomechanics Lab conducts research in legged and wheeled mobile robotics, mechanism design, feedback control, computer vision, motion planning, and applications of robotics research to environmental monitoring, planetary exploration, and home assistance.
The Robomechanics Lab believes in actively working towards creating a diverse, equitable, and inclusive environment. We do this in several ways:
• Conduct Ethical Research – We involve all lab participants in discussion of the direction of new research projects, and ensure the project’s impact is in line with both our lab and personal values. This includes regular review of research topics, funding sources, and industry partners.
• Drive Reform in Academia – We actively work on DEI and other reform initiatives at CMU and in the broader academic robotics community by participating in departmental initiatives, collaborating with advocacy organizations, and organizing events at conferences.
• Foster Equitable Access – We strive to create STEM opportunities for historically marginalized students in Pittsburgh and beyond through the development and execution of outreach activities that allow us to share our technical skills and inspire the next generation of engineers.
• Support Each Other – We sustain an inclusive environment where everyone is valued as both a researcher and an individual. This includes active, structured mentorship for all lab members as well as informal social events and regular DEI-centered conversations.
Carnegie Mellon University is a global research university with more than 12,000 students, 95,000 alumni, and 5,000 faculty and staff.
Carnegie Mellon University has been a birthplace of innovation since its founding in 1900.
Today, we are a global leader bringing groundbreaking ideas to market and creating successful startup businesses.
Our award-winning faculty members are renowned for working closely with students to solve major scientific, technological and societal challenges. We put a strong emphasis on creating things—from art to robots. Our students are recruited by some of the world’s most innovative companies.
We have campuses in Pittsburgh, Qatar and Silicon Valley, and degree-granting programs around the world, including Africa, Asia, Australia, Europe and Latin America.
The Carnegie Mellon University was established by Andrew Carnegie as the Carnegie Technical Schools, the university became the Carnegie Institute of Technology in 1912 and began granting four-year degrees. In 1967, the Carnegie Institute of Technology merged with the Mellon Institute of Industrial Research, formerly a part of the The University of Pittsburgh. Since then, the university has operated as a single institution.
The Carnegie Mellon University has seven colleges and independent schools, including the College of Engineering, College of Fine Arts, Dietrich College of Humanities and Social Sciences, Mellon College of Science, Tepper School of Business, Heinz College of Information Systems and Public Policy, and the School of Computer Science. The Carnegie Mellon University has its main campus located 3 miles (5 km) from Downtown Pittsburgh, and the university also has over a dozen degree-granting locations in six continents, including degree-granting campuses in Qatar and Silicon Valley.
Past and present faculty and alumni include 20 Nobel Prize laureates, 13 Turing Award winners, 23 Members of the American Academy of Arts and Sciences, 22 Fellows of the American Association for the Advancement of Science , 79 Members of the National Academies, 124 Emmy Award winners, 47 Tony Award laureates, and 10 Academy Award winners. Carnegie Mellon enrolls 14,799 students from 117 countries and employs 1,400 faculty members.
Research
Carnegie Mellon University is classified among “R1: Doctoral Universities – Very High Research Activity”. For the 2006 fiscal year, the Carnegie Mellon University spent $315 million on research. The primary recipients of this funding were the School of Computer Science ($100.3 million), the Software Engineering Institute ($71.7 million), the College of Engineering ($48.5 million), and the Mellon College of Science ($47.7 million). The research money comes largely from federal sources, with a federal investment of $277.6 million. The federal agencies that invest the most money are the National Science Foundation and the Department of Defense, which contribute 26% and 23.4% of the total Carnegie Mellon University research budget respectively.
The recognition of Carnegie Mellon University as one of the best research facilities in the nation has a long history—as early as the 1987 Federal budget Carnegie Mellon University was ranked as third in the amount of research dollars with $41.5 million, with only Massachusetts Institute of Technology and Johns Hopkins University receiving more research funds from the Department of Defense.
The Pittsburgh Supercomputing Center is a joint effort between Carnegie Mellon University, University of Pittsburgh, and Westinghouse Electric Company. Pittsburgh Supercomputing Center was founded in 1986 by its two scientific directors, Dr. Ralph Roskies of the University of Pittsburgh and Dr. Michael Levine of Carnegie Mellon. Pittsburgh Supercomputing Center is a leading partner in the TeraGrid, The National Science Foundation’s cyberinfrastructure program.
Scarab lunar rover is being developed by the RI.
The Robotics Institute (RI) is a division of the School of Computer Science and considered to be one of the leading centers of robotics research in the world. The Field Robotics Center (FRC) has developed a number of significant robots, including Sandstorm and H1ghlander, which finished second and third in the DARPA Grand Challenge, and Boss, which won the DARPA Urban Challenge. The Robotics Institute has partnered with a spinoff company, Astrobotic Technology Inc., to land a CMU robot on the moon by 2016 in pursuit of the Google Lunar XPrize. The robot, known as Andy, is designed to explore lunar pits, which might include entrances to caves. The RI is primarily sited at Carnegie Mellon University ‘s main campus in Newell-Simon hall.
The Software Engineering Institute (SEI) is a federally funded research and development center sponsored by the U.S. Department of Defense and operated by Carnegie Mellon University, with offices in Pittsburgh, Pennsylvania, USA; Arlington, Virginia, and Frankfurt, Germany. The SEI publishes books on software engineering for industry, government and military applications and practices. The organization is known for its Capability Maturity Model (CMM) and Capability Maturity Model Integration (CMMI), which identify essential elements of effective system and software engineering processes and can be used to rate the level of an organization’s capability for producing quality systems. The SEI is also the home of CERT/CC, the federally funded computer security organization. The CERT Program’s primary goals are to ensure that appropriate technology and systems management practices are used to resist attacks on networked systems and to limit damage and ensure continuity of critical services subsequent to attacks, accidents, or failures.
The Human–Computer Interaction Institute (HCII) is a division of the School of Computer Science and is considered one of the leading centers of human–computer interaction research, integrating computer science, design, social science, and learning science. Such interdisciplinary collaboration is the hallmark of research done throughout the university.
The Language Technologies Institute (LTI) is another unit of the School of Computer Science and is famous for being one of the leading research centers in the area of language technologies. The primary research focus of the institute is on machine translation, speech recognition, speech synthesis, information retrieval, parsing and information extraction. Until 1996, the institute existed as the Center for Machine Translation that was established in 1986. From 1996 onwards, it started awarding graduate degrees and the name was changed to Language Technologies Institute.
Carnegie Mellon is also home to the Carnegie School of management and economics. This intellectual school grew out of the Tepper School of Business in the 1950s and 1960s and focused on the intersection of behavioralism and management. Several management theories, most notably bounded rationality and the behavioral theory of the firm, were established by Carnegie School management scientists and economists.
Carnegie Mellon also develops cross-disciplinary and university-wide institutes and initiatives to take advantage of strengths in various colleges and departments and develop solutions in critical social and technical problems. To date, these have included the Cylab Security and Privacy Institute, the Wilton E. Scott Institute for Energy Innovation, the Neuroscience Institute (formerly known as BrainHub), the Simon Initiative, and the Disruptive Healthcare Technology Institute.
Carnegie Mellon has made a concerted effort to attract corporate research labs, offices, and partnerships to the Pittsburgh campus. Apple Inc., Intel, Google, Microsoft, Disney, Facebook, IBM, General Motors, Bombardier Inc., Yahoo!, Uber, Tata Consultancy Services, Ansys, Boeing, Robert Bosch GmbH, and the Rand Corporation have established a presence on or near campus. In collaboration with Intel, Carnegie Mellon has pioneered research into claytronics.
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