12 citations · 15 across the 5 of their papers we have counts for
5 papers
A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach
Skylar X. Wei, Lu Gan, Joel W. Burdick
This work presents a novel data-driven multi-layered planning and control framework for the safe navigation of a class of unmanned ground vehicles (UGVs) in the presence of unknown…
The Fractal Hand-II: Reviving a Classic Mechanism for Contemporary Grasping Challenges
Malcolm G. A. Tisdale, Joel W. Burdick
This paper, and its companion, propose a new fractal robotic gripper, drawing inspiration from the century-old Fractal Vise. The unusual synergistic properties allow it to passivel…
An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Daş, Joel W. Burdick
Future NASA lander missions to icy moons will require completely automated, accurate, and data efficient calibration methods for the robot manipulator arms that sample icy terrains…
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments
Amanda Bouman, Joshua Ott, Sung-Kyun Kim +5
We present a method for solving the coverage problem with the objective of autonomously exploring an unknown environment under mission time constraints. Here, the robot is tasked w…
Stochastic Finite State Control of POMDPs with LTL Specifications
Mohamadreza Ahmadi, Rangoli Sharan, Joel W. Burdick
Partially observable Markov decision processes (POMDPs) provide a modeling framework for autonomous decision making under uncertainty and imperfect sensing, e.g. robot manipulation…