5 papers · 1 filter
Fail-RAG : A Retrieval Augmented Generation Informed Framework for Robot Failure Identification
Ameya Salvi, Jie Hu
Industry automation is witnessing an evolution in robotics driven by both technological breakthroughs and societal changes: progress towards generalist robots, embodied and physica…
Characterizing gaussian mixture of motion modes for skid-steer vehicle state estimation
Ameya Salvi, Mark Brudnak, Jonathon M. Smereka +2
Skid-steered wheel mobile robots (SSWMRs) are characterized by the unique domination of the tire-terrain skidding for the robot to move. The lack of reliable friction models cascad…
Experimental investigation of pose informed reinforcement learning for skid-steered visual navigation
Ameya Salvi, Venkat Krovi
Vision-based lane keeping is a topic of significant interest in the robotics and autonomous ground vehicles communities in various on-road and off-road applications. The skid-steer…
Online identification of skidding modes with interactive multiple model estimation
Ameya Salvi, Pardha Sai Krishna Ala, Jonathon M. Smereka +4
Skid-steered wheel mobile robots (SSWMRs) operate in a variety of outdoor environments exhibiting motion behaviors dominated by the effects of complex wheel-ground interactions. Ch…
Stabilization of vertical motion of a vehicle on bumpy terrain using deep reinforcement learning
Ameya Salvi, John Coleman, Jake Buzhardt +2
Stabilizing vertical dynamics for on-road and off-road vehicles is an important research area that has been looked at mostly from the point of view of ride comfort. The advent of a…