2 citations · 3 across the 4 of their papers we have counts for
4 papers
DeepFleet: Multi-Agent Foundation Models for Mobile Robots
Ameya Agaskar, Sriram Siva, William Pickering +18
We introduce DeepFleet, a suite of foundation models designed to support coordination and planning for large-scale mobile robot fleets. These models are trained on fleet movement d…
NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces
Sriram Siva, Maggie Wigness, John G. Rogers +2
When robots operate in real-world off-road environments with unstructured terrains, the ability to adapt their navigational policy is critical for effective and safe navigation. Ho…
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation
Sriram Siva, Maggie Wigness, John G. Rogers +2
Ground robots require the crucial capability of traversing unstructured and unprepared terrains and avoiding obstacles to complete tasks in real-world robotics applications such as…
Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain
Sriram Siva, Maggie Wigness, John G. Rogers +1
Terrain adaptation is an essential capability for a ground robot to effectively traverse unstructured off-road terrain in real-world field environments such as forests. However, th…