The Breakdown The BFM-Zero system lets humanoid robots switch seamlessly between many skills. It relies on unsupervised reinforcement learning, allowing robots to explore, generalize and self-improve. The system moves robotics closer to general-purpose humanoids that can adapt safely in everyday environments. *** Humanoid robots in a lab at Carnegie Mellon University don't fall over when [...]
Robots took to the runway — strutting, spinning and dancing — in a fashion show that brought art and engineering together to rethink how humans and machines might coexist. Draped in metallic fabric and sculptural garments, the robots appeared alongside human partners in a rare performance that blended engineering with artistic expression. The robot fashion [...]
Our group is dedicated to pioneering cutting-edge wearables, robotics, and AI technologies that transcend traditional human physical capabilities, aiming to redefine the boundaries of human mobility. At Carnegie Mellon University’s MetaMobility Lab, led by Dr. Inseung Kang, our focus is on advancing wearable assistive technologies, such as robotic exoskeletons, to enhance human mobility. Our interdisciplinary [...]
The DRIVE Lab performs research on behaviors, planning, control, and perception for autonomous vehicles. Its emphases include socially cooperative autonomous driving, safe control under uncertainty, high-performance driving for autonomous racing, and adaptation to dynamic environments. Adversarial Multi-Agent Systems We want to enable robots to operate safely and optimally in the presence of adverserial agents. Our [...]
The Legged Systems Group is engaged in research on dynamics, control and learning of human locomotion and related applications in rehabilitation robotics. Our group combines physics, biomechanics and neuroscience with control theory and machine learning to understand how the human system locomotes and to translate the resulting insights into functional lower-limb assistive robots. Our research [...]
The MattLab is developing the intelligence necessary to enable complex platforms to autonomously interact with and perform meaningful work in complex environments. The task areas include biologically inspired dynamic locomotion and learning, compliant manipulation for agriculture and food preparation, managing uncertainty in human-robot interaction, and field-ready search and rescue robotics. The central ideas that drive [...]
The Momentum Lab focuses on advancing robotics research through innovative approaches to manipulation, learning, and human-robot interaction. Our research spans soft robotics, computer vision, machine learning, and multi-agent systems, with applications in healthcare, manufacturing, and everyday assistance.
Research focuses on developing fundamental algorithms that enable large teams of autonomous agents to accomplish collaborative tasks intelligently in dynamic environments. Applications of this research include mobile robot coordination for automated warehousing and, in general, nonholonomic robot teams, drone swarm control, multi-arm assembly, character control in video games, and traffic management for airports, railway networks, [...]
LeCar Lab members are broadly interested in the intersection of learning and control, spanning the entire spectrum from theory and foundations, algorithms, to real-world applications in robotics and autonomy. We develop reliable, adaptive, and efficient learning and control methods for embodied intelligence with agility. See our publications and research topics for more details. Videos and [...]
My group’s research is on developing wearable assistive devices (e.g., robotic exoskeletons) that can augment human mobility during locomotion. Some research topics include: 1) Robotic exoskeleton design and control (mechatronic design) using wearable sensors and deep learning 2) Designing a foundational model for estimating user physiology for a robotic exoskeleton 3) Computer vision-based whole-body human [...]
The goal of the FARM Lab (formerly Kantor Lab) is to develop techniques for perceiving and manipulating plants using robots. The potential applications are broad, and include fruit detection and picking, yield prediction, health assessment, pruning, and crop management, among others. The lab currently has projects spanning outdoor interactions with field crops, indoor work with [...]
My research interests are in the intersection of machine learning and control theory, spanning the entire spectrum from theory and foundations, and practical algorithms, to real-world applications in robotics and autonomy. To that end, there are three goals: (1) bridge learning and control theory in a unified framework; (2) design reliable learning and control algorithms [...]
I am interested in planning, scheduling, optimization, and learning for large-scale multi-robot coordination. My research focuses on developing fundamental algorithms that enable large teams of autonomous agents to accomplish collaborative tasks intelligently in dynamic environments. Applications of my research include mobile robot coordination for automated warehousing and, in general, non-holonomic robot teams, drone swarm control, [...]
We develop new computational, control, and sensing methods for robots to physically interact with and assist people. We bring together researchers that explore the intersection of physically assistive robotics, machine learning, physics simulation, perception, and human-robot interaction. Our research often has applications in healthcare robotics, including the advancement of robotic caregivers -- robots that assist [...]
My research broadly explores healthcare robotics, with an emphasis on empowering older adults and people with disabilities to live more independently and maintain a higher quality of life.My research lies at the intersection of physically assistive robotics, learning, physics simulation, haptic perception, and human-robot interaction.I am especially interested in physical human-robot interaction, and I focus on developing [...]
Foam hands seek to bridge the gap in realized dexterity between soft robotics and classical rigid robot hands. Our philosophy is that this will come from an effective synergy of advances in materials and design, simulation and perception, and planning and control. The Foam Hand Lab brings together these disciplines to capitalize on the advantages [...]
The human musculoskeletal system is a remarkable engineering system that enables voluntary movement with inherent ease in healthy individuals. Yet, its complexity makes it difficult to understand and treat many orthopaedic pathologies. We study musculoskeletal biomechanics in the context of injury and disease using motion capture, medical imaging, computational modeling, and machine/statistical learning. Our ultimate [...]
Our primary focus is on multifunctional materials for soft robots that are safe for human interaction.
About The Carnegie Mellon Textiles Lab extends the state of the art in textile design and fabrication. We seek to collaborate broadly both inside and outside the Carnegie Mellon community. Our space in Wean 1334 houses a state-of-the art knitting machine, computer-controlled quilting machine, prosumer-level jacquard loom, and various small textiles fabrication tools and supplies. [...]
The Resilient Intelligent Systems Lab (RISLab) is part of Carnegie Mellon University’s Robotics Institute. The lab, led by Director Wennie Tabib, is focused on resilient autonomy and agile flight in complex, unstructured environments. https://www.rislab.org
My research focuses on developing algorithms and representations to enable robots to learn versatile manipulation skills over time. The ability to learn skills and adapt manipulations to new situations will open up a wide range of new robot applications, including taking care of the elderly, maintaining parks and public places, and assisting in hazardous environments. [...]
I build creative tools -- software and hardware that help people make things. I am particularly interested in systems that operate in real-time and build user intuition. I’ve been applying these ideas to textiles fabrication and machine knitting as the leader of the Carnegie Mellon Textiles Lab; as well as to other domains including robotic [...]
My research interest is in end-to-end robotic systems tailored for complex outdoor environments, synthesizing cutting-edge research across various branches of robotics to address real-world challenges. This often leads to proof-of-concept robotic systems that demonstrate novel concepts to do things that have never been done before. My particular interest is in agriculture, where I'm fascinated not [...]
The AirLab develops and tests perception and planning algorithms for unmanned air vehicles. View the full Airlab website for much more.
Search-based Planning Laboratory researches methodologies and algorithms that enable autonomous systems to act fast, intelligently and robustly. Our research concentrates mostly on developing novel planning approaches, coming up with novel heuristic searches and investigating how planning can be combined with machine learning. Our work spans graph theory, algorithms, data structures, machine learning and of course [...]
Research interests focus on developing reliable, highly autonomous systems (especially mobile robots) that operate in rich, uncertain environments. The goal is to create intelligent systems that can operate autonomously for long periods of time in unstructured, natural environments. This necessitates robots that can plan, effectively reason about uncertainty, diagnose and recover from unanticipated errors, reason [...]
Research in the Surgical Mechatronics Laboratory aims to develop intelligent tools that improve performance in microsurgery and minimally invasive surgery while at the same time leaving the surgeon in full control of the procedure and benefiting from his expertise and dexterity. The goal is for the surgeon to notice the work he is doing, not [...]
The Biorobotics Lab reduces complicated high-dimensional problems found in robotics to low-dimensional tractable ones for design, analysis, and planning. Often, we look to biology for inspiration and sometimes, we return the favor by providing analysis that models biology. Our research group runs the full pipeline from basic research, to applied research and all the way to system deployment, and [...]
In the Microdynamic Systems Laboratory we are exploring the limits of robotics in terms of speed, precision, dexterity and miniaturization. This endeavor requires development of new sensing, actuation, and control technologies for agile robotic systems that can be applied to a variety of real-world situations. Major themes of our work include moving toward robotics operating [...]
NREC works closely with government and industry clients to develop and mature robotic technologies from concept to commercialization. A typical NREC project includes a rapid proof-of-concept demonstration followed by an in-depth development and testing phase that produces a robust prototype with intellectual property for licensing and commercialization. Throughout this process, NREC applies best practices for [...]
Field robotics is the use of mobile robots in field environments such as work sites and natural terrain, where the robots must safeguard themselves while performing non-repetitive tasks and objective sensing as well as self-navigation in random or dynamic environments. The Field Robotics Center at Carnegie Mellon University is dedicated to the pursuit of this [...]
Soft Machines Lab The primary focus of my research group is on multifunctional materials for soft robots that are safe for human interaction. In particular, we are developing new materials architectures, solid mechanics models, and fabrication methods that address the following emerging challenges: Elastically soft sensors and circuits for sensorized “artificial skin” and biomechanically compatible stretchable electronics Soft multifunctional [...]
At the Dexterous Manipulation and Soft Robotics lab, we study how hands -- robotic, animated, and human -- grasp, manipulate, and make sense of the physical world. Our research spans the full depth of dexterous manipulation: from the geometry of contact and the biomechanics of the human hand, to algorithms for grasp planning, motion retargeting [...]
My research focuses on developing the intelligence necessary to enable complex platforms to autonomously interact with and perform meaningful work in complex environments. The task areas on which I am currently focusing include biologically inspired dynamic locomotion and learning, compliant manipulation for agriculture and food preparation, managing uncertainty in human-robot interaction, and field-ready search and [...]
My research interests focus on developing reliable, highly autonomous systems (especially mobile robots) that operate in rich, uncertain environments. The goal is to create intelligent systems that can operate autonomously for long periods of time in unstructured, natural environments. This necessitates robots that can plan, effectively reason about uncertainty, diagnose and recover from unanticipated errors, [...]
Autonomous robots have demonstrated enormous potential in fielded environments; however, to be broadly accepted, they need to demonstrate safe and resilient performance in a wide range of varying circumstances, from degraded environmental conditions to different terrains and adverse obstacles. To achieve scalability, these techniques need to be universal. This unconstrained nature of robots in fielded [...]
Most of my research is in the area of surgical robotics. Specifically, I have an interest in developing robotic systems and interfaces for microsurgery and minimally invasive surgery that enhance the performance of the surgeon while also being "minimally obtrusive:" small, inexpensive, and easy to use, with minimal disturbance of the workflow in the operating [...]
My general research interests lie in Artificial Intelligence and Robotics. More specifically, they currently cover planning in deterministic and probabilistic domains and machine learning. My research has been mainly motivated by the problem of fast and intelligent decision making by autonomous robotic systems operating in real-world environments. Some of the robotic systems my group does [...]
The control of dynamical systems becomes increasingly important as the era of robotics research dominated by quasi-static machines rapidly comes to a close. Similarly, the importance of state estimation grows as robotic applications require robots to function in larger, more complex environments. My research addresses both of these issues by focusing on the dual problems [...]
My goal has been, and remains, to bring the precision of computer science and applied mathematics to the realities and uncertainties of mechanical systems. I will continue to make fundamental contributions in design, motion planning, path planning, and estimation. Mechanism Design. My group has designed and constructed a variety of snake robots, highly articulated mechanisms [...]
My current research effort focuses on three main areas, all involving the creation of innovative new hardware, software, and systems. The first area concerns distributed agent-based cooperative high-precision manipulation. The principal application is agile assembly of small high-precision electromechanical products such as computer storage devices, medical devices, communication devices, and other high-density mechatronic equipment. The [...]
I am interested in advancing the science and technology of legged dynamic systems and in improving through this work the quality of life for people who depend on robotics technology to assist, replace or restore their physical capabilities. We pursue this goal in my group along three interconnected directions: (1) We work on a unified [...]
My research goal is to create systems and methodologies that allow groups of robots and humans to collaborate with one another to perform useful tasks. My research is motivated by an interest in the modeling and control of physical systems on the one hand, and in the creation of effective human-machine interfaces on the other. [...]
