3 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
Robot navigation from human demonstration: learning control behaviors with environment feature maps
Maggie Wigness, John G. Rogers, Luis E. Navarro-Serment
When working alongside human collaborators in dynamic and unstructured environments, such as disaster recovery or military operation, fast field adaptation is necessary for an unma…
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration
Christian Ellis, Maggie Wigness, John G. Rogers +2
Traditional imitation learning provides a set of methods and algorithms to learn a reward function or policy from expert demonstrations. Learning from demonstration has been shown…
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…
Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models
Siddharth Choudhary, Luca Carlone, Carlos Nieto +3
We consider the following problem: a team of robots is deployed in an unknown environment and it has to collaboratively build a map of the area without a reliable infrastructure fo…