Shane Parr

2 accepted papers

2024

Robot Task Planning Under Local Observability

Max Merlin, Shane Parr, Neev Parikh, Sergio Orozco, Vedant Gupta, Eric Rosen +1

ICRA 2024poster

Real-world robot task planning is intractable in part due to partial observability. A common approach to reducing complexity is introducing additional structure into the decision process, such as mixed-observability, factored states, or temporally-extended actions. We propose the locally observable…

Cited by 2 Source ↗Scholar ↗

2021

Agent-Aware State Estimation in Autonomous Vehicles

Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein

IROS 2021poster

Autonomous systems often operate in environments where the behavior of multiple agents is coordinated by a shared global state. Reliable estimation of the global state is thus critical for successfully operating in a multi-agent setting. We introduce agent-aware state estimation—a framework for calc…

Cited by 3 Source ↗code ↗Scholar ↗