45 citations · 60 across the 9 of their papers we have counts for
9 papers
VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation
Mateo Guaman Castro, Sidharth Rajagopal, Daniel Gorbatov +9
A fundamental challenge in robot navigation lies in learning policies that generalize across diverse environments while conforming to the unique physical constraints and capabiliti…
Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
Matt Schmittle, Rohan Baijal, Nathan Hatch +6
A robot navigating an outdoor environment with no prior knowledge of the space must rely on its local sensing to perceive its surroundings and plan. This can come in the form of a…
Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving
Matt Schmittle, Rohan Baijal, Brian Hou +2
We focus on the problem of long-range dynamic replanning for off-road autonomous vehicles, where a robot plans paths through a previously unobserved environment while continuously…
Demonstrating HOUND: A Low-cost Research Platform for High-speed Off-road Underactuated Nonholonomic Driving
Sidharth Talia, Matt Schmittle, Alexander Lambert +3
Off-road autonomy, crucial for applications such as search-and-rescue, agriculture, and planetary exploration, poses unique problems due to challenging terrains, as well as due to…
PuSHR: A Multirobot System for Nonprehensile Rearrangement
Sidharth Talia, Arnav Thareja, Christoforos Mavrogiannis +2
We focus on the problem of rearranging a set of objects with a team of car-like robot pushers built using off-the-shelf components. Maintaining control of pushed objects while avoi…
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
Xiangyun Meng, Nathan Hatch, Alexander Lambert +11
Effective use of camera-based vision systems is essential for robust performance in autonomous off-road driving, particularly in the high-speed regime. Despite success in structure…
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics
Matthew Schmittle, Sanjiban Choudhury, Siddhartha S. Srinivasa
A key challenge in Imitation Learning (IL) is that optimal state actions demonstrations are difficult for the teacher to provide. For example in robotics, providing kinesthetic dem…
MuSHR: A Low-Cost, Open-Source Robotic Racecar for Education and Research
Siddhartha S. Srinivasa, Patrick Lancaster, Johan Michalove +8
We present MuSHR, the Multi-agent System for non-Holonomic Racing. MuSHR is a low-cost, open-source robotic racecar platform for education and research, developed by the Personal R…
Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate
Ryan Feng, Youngsun Kim, Gilwoo Lee +5
A robot-assisted feeding system must successfully acquire many different food items. A key challenge is the wide variation in the physical properties of food, demanding diverse acq…