7 citations · 10 across the 4 of their papers we have counts for
5 papers · 1 filter
DemoStream: Batched Task-and-Motion-Plan Optimization for Automated Learning from Demonstration
Caelan Garrett, Neel Jawale, Fabio Ramos
Learning from demonstration is an effective strategy for endowing robots with manipulation capabilities but requires training on datasets comprised of massive amounts of demonstrat…
Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
NVIDIA, :, Mayank Mittal +104
We present Isaac Lab, the natural successor to Isaac Gym, which extends the paradigm of GPU-native robotics simulation into the era of large-scale multi-modal learning. Isaac Lab c…
Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning
Neel Jawale, Byron Boots, Balakumar Sundaralingam +1
We investigate the problem of teaching a robot manipulator to perform dynamic non-prehensile object transport, also known as the `robot waiter' task, from a limited set of real-wor…
Learned Slip-Detection-Severity Framework using Tactile Deformation Field Feedback for Robotic Manipulation
Neel Jawale, Navneet Kaur, Amy Santoso +2
Safely handling objects and avoiding slippage are fundamental challenges in robotic manipulation, yet traditional techniques often oversimplify the issue by treating slippage as a…
Dynamics Models in the Aggressive Off-Road Driving Regime
Tyler Han, Sidharth Talia, Rohan Panicker +3
Current developments in autonomous off-road driving are steadily increasing performance through higher speeds and more challenging, unstructured environments. However, this operati…