MEAM Seminar: “Modboats: Building an Aquatic Modular Self-Reconfigurable Robotic System out of Underactuated Modules”
Modular robots offer the promise of flexibility; we will be able to deploy teams of generalist modules and reconfigure them into various specialists to perform whatever task is necessary. Surface […]
MEAM Seminar: “Mobile Wireless Infrastructure on Demand in Robot Teams”
The promise of multi-robot systems is that they can complete tasks quicker and more efficiently than a single robot. However, such performance gains are only realized if robots can communicate […]
Spring 2022 GRASP SFI: Youngwoon Lee, University of Southern California, “Scaling Robot Learning with Skills: Towards Furniture Assembly and Beyond”
Despite the recent progress in robot learning, robotics research and benchmarks today are typically confined to simple short-horizon tasks. However, tasks in our daily lives are much more complicated — […]
MEAM Seminar: “Exploiting Environmental Fields for Orienteering and Planning Problems”
Robots are increasingly being used to complete tasks in complex environments. To complete these tasks, two of the most fundamental choices that the robot must make are (1) task planning: […]
MEAM Seminar: “Agile Maneuver with Under-Actuated Millirobots”
Decimeter-scale robots can use a wide range of techniques to maneuver in challenging environments in spite of lacking the actuated degrees of freedom typically seen in larger robots. Agile maneuver […]
GRASP on Robotics: Jia Deng, Princeton University, “Toward Dense 3D Reconstruction in the Wild”
This seminar will be held in person in Wu and Chen Auditorium as well as virtually via Zoom. Reconstructing depth and motion of every pixel for arbitrary scenes is a […]
MEAM Seminar: “Robot-assisted Imaging of Neuromuscular Function: New Insights on the Neural Substrates of Motor Control”
Can we use robots to help humans learn a new motor skill, or to improve performance of a motor task? What are the neural substrates that support motor learning under […]
Spring 2022 GRASP SFI: Anthony Bisulco, University of Pennsylvania, “A Tutorial on Neuromorphic Vision for High-Speed Perception”
This seminar will be held in person in Levine 307 as well as via Zoom. Mobile robot systems operate in dynamic environments, such as forests, caves, or roadways, where they […]
Spring 2022 GRASP SFI: Paloma Sodhi, Carnegie Mellon University, “Learning in factor graphs for tactile perception”
*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom Factor graphs offer a flexible and powerful framework for solving large-scale, nonlinear inference […]
GRASP on Robotics: Jing Xiao, Worcester Polytechnic Institute, “Perception-Action Synergy in Uncertain Environments”
Many robotic applications require a robot to operate in an environment with unknowns or uncertainty, at least initially, before it gathers enough information about the environment. In such a case, […]