5 citations · 5 across the 5 of their papers we have counts for
5 papers
Approximately Optimal Global Planning for Contact-Rich SE(2) Manipulation on a Graph of Reachable Sets
Simin Liu, Tong Zhao, Bernhard Paus Graesdal +5
If we consider human manipulation, it is clear that contact-rich manipulation (CRM)-the ability to use any surface of the manipulator to make contact with objects-can be far more e…
Constrained Decoding for Safe Robot Navigation Foundation Models
Parv Kapoor, Akila Ganlath, Michael Clifford +3
Recent advances in the development of robotic foundation models have led to promising end-to-end and general-purpose capabilities in robotic systems. Trained on vast datasets of si…
Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
Parv Kapoor, Ian Higgins, Nikhil Keetha +9
Assured safe-separation is essential for achieving seamless high-density operation of airborne vehicles in a shared airspace. To equip resource-constrained aerial systems with this…
AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning
Alan Chen, Changliu Liu
A critical goal in robotics and autonomy is to teach robots to adapt to real-world collaborative tasks, particularly in automatic assembly. The ability of a robot to understand the…
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou +2
Based on the direct perception paradigm of autonomous driving, we investigate and modify the CNNs (convolutional neural networks) AlexNet and GoogLeNet that map an input image to f…