The Breakdown : An algorithm driven by wearable sensors advances assistive feeding by predicting when someone is ready for their next bite. It helps robots adapt to real-world eating, including conversation and pauses. Adjustable settings let users set the pace while easing workload. * * * New work led by Carnegie Mellon University researchers could [...]
The Breakdown: A CMU study followed blind participants navigating a museum with a robotic guide. It revealed that navigation strategies shift from moment to moment in unpredictable environments. The findings highlight the need to design assistive technologies that adapt to users’ changing decisions in real time. * * * Assistive navigation robots are only as [...]
The Breakdown: New RI software works with a handheld imaging tool to map skin texture in 3D. The software turns subtle skin surface changes into measurable data. This research could help clinicians track skin conditions like eczema and psoriasis, monitor treatment and evaluate skincare product effectiveness. * * * Work from Carnegie Mellon University may [...]
The Breakdown: A caregiving robot that responds to spoken instructions while performing physical tasks may make robots easier to use and understand. The robot explains its actions, listens to feedback and adjusts in real time. CMU researchers tested the robot with residents at an independent living facility. *** Residents at Baptist Senior Family's Providence Point, [...]
The quadruped robots explore grass terrain at night. Team Chiron, a group of researchers from Carnegie Mellon University and the University of Pittsburgh, will compete in the third and final phase of the DARPA Triage Challenge (DTC) next November. The DTC seeks to develop portable, autonomous systems that can assess and monitor injured [...]
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.
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 [...]
About the TBD Lab We discover and examine new ways of supporting accessible transportation and human-robot interaction. This includes work on core issues in robotics and other computer science, like appropriate robot behaviors, trust and robot performance, and accessible interactions with AI and robots. Research Themes Most of the TBD Lab projects center on [...]
I am an Assistant Professor in the Robotics Institute at Carnegie Mellon University, where I lead the Zoom Lab. I’m interested in bio-inspired solutions to increase mechanical intelligence in robots and robotic components. Current robots are primarily rigid machines that exist in highly constrained or open environments such as factory floors, warehouses, or fields. There [...]
I am an Assistant Professor in the Robotics Institute at Carnegie Mellon University, where I lead the Human And Robot Partners (HARP) Lab. I'm interested in robotics, human-robot interaction, and assistive technology. My research focuses on developing intelligent, autonomous robots that help humans on complex tasks like eating a meal or learning a new skill. [...]
My research lies at the intersection of robotics, machine learning, and computer vision. I am interested in developing methods for robotic perception and control that can allow robots to operate in the messy, cluttered environments of our daily lives. My approach is to design new deep learning / machine learning algorithms to understand environmental changes: [...]
The Visualization and Image Analysis (VIA) Laboratory is based at the University of Pittsburgh and Carnegie Mellon University. We are developing new methods of displaying, analyzing, and haptically rendering images, primarily for medical applications. We have introduced a new device called the Sonic FlashlightTM, for guiding invasive medical procedures, and are also involved in creating [...]
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 [...]
The Biomedical Image Guidance (BIG) Lab conducts research in biomedical optics, image analysis, and visualization, especially for intraoperative guidance and also for diagnosis. We use computer vision to assist human placement of biomedical scanners, and we use novel visualization of biomedical images to better guide human manipulation of tools. Applications are wide-ranging, from computer-vision for [...]
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 research focuses on the physics of computer vision and computer graphics. My projects highlight three main aspects of my research – the mathematical modeling of the interactions of light with materials and the atmosphere; the design of novel cameras and programmable lighting; and the development of algorithms for rendering and interpreting scene appearance. My [...]
CV, Research Statement, and Teaching Statement I am a Systems Scientist and Adjunct Assistant Professor at Carnegie Mellon University (CMU), directing the Biomedical Image Guidance Laboratory and teaching an internationally recognized graduate course on medical image analysis algorithms. I have a Ph.D. in Robotics and a B.S. and M.S. in computer engineering. My primary appointment [...]
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 [...]
