https://www.grasp.upenn.edu/events/
check the videos: https://www.youtube.com/user/grasplab/videos
Andreas Malikopoulos, University of Delaware, “Separation of Learning and Control for Cyber-Physical Systems”
SL/Model-based control/RL
Pareto Optimal Control Strategy
off-line (computation limits)
Optimal Time Trajectory and Coordination for Connected and Automated Vehicles coordinations (using the sharing information) of CAVs
transportation modeling (when the car drives into the control zone then have communication and has OCP problem)
high-level: throughput maximization
low-level : energy minimizations (optimal solution, as polynomials)
(can solve both)
mering zone (the intersection)
=> constrained optimization: minimal energy, subjects to control/state constraints, collisions (red-end/lateral) smooth the trajectory
separation of learning and control for CPS (off-line control and on-line learning (add delay))
(noise/disturbance) -> actual CPS
OCP: derive the g to minimize total cost of actual CPS
off-line separated control strategy for problem 2 -- also the optimal for the problem 1
apply to decentralized systems
Stefanos Nikolaidis, University of Southern California, “Towards Robust Human-Robot Interaction: A Quality Diversity Approach”
GRASP on Robotics: Ankur Mehta, University of California, Los Angeles, “Towards $1 Robots”
GRASP on Robotics: Volkan Isler, University of Minnesota, “From Surveying Farms to Tidying our Homes with Robots”
GRASP on Robotics: Jia Deng, Princeton University, “Toward Dense 3D Reconstruction in the Wild”
GRASP on Robotics: Shai Revzen, University of Michigan, Ann Arbor, “Multi-legged slipping is simpler than you think”
GRASP on Robotics: Gregory Hager, Johns Hopkins University, “Observing, Learning and Executing Fine-Grained Manipulation Activities”
GRASP on Robotics: Cornelia Fermüller, University of Maryland, “Bio-inspired Motion Analysis”
GRASP on Robotics: Kevin Lynch, Northwestern University, “Robot manipulation research in the Center for Robotics and Biosystems”
GRASP on Robotics: Jing Xiao, Worcester Polytechnic Institute, “Perception-Action Synergy in Uncertain Environments”
GRASP on Robotics: Vincent Sitzmann, Massachusetts Institute of Technology, “Self-supervised Scene Representation Learning for Robotics”
Signed distance function
inference model
https://www.vincentsitzmann.com/lfns/
GRASP on Robotics: Katherine Kuchenbecker, Max Planck Institute for Intelligent Systems, “Haptics and Physical Human-Robot Interaction”