19 citations · 34 across the 11 of their papers we have counts for
6 papers · 1 filter
Robust Incremental Smoothing and Mapping (riSAM)
Daniel McGann, John G. Rogers, Michael Kaess
This paper presents a method for robust optimization for online incremental Simultaneous Localization and Mapping (SLAM). Due to the NP-Hardness of data association in the presence…
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
Mateo Guaman Castro, Samuel Triest, Wenshan Wang +4
Estimating terrain traversability in off-road environments requires reasoning about complex interaction dynamics between the robot and these terrains. However, it is challenging to…
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…
A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth
Priya Narayanan, Xin Hu, Zhenyu Wu +9
Imagery collected from outdoor visual environments is often degraded due to the presence of dense smoke or haze. A key challenge for research in scene understanding in these degrad…
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…
Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination
Derrik E. Asher, Anjon Basak, Rolando Fernandez +9
Reinforcement learning (RL) approaches can illuminate emergent behaviors that facilitate coordination across teams of agents as part of a multi-agent system (MAS), which can provid…