Temporally-Sampled Efficiently Adaptive State Lattices for Autonomous Ground Robot Navigation in Partially Observed Environments - 2026-02-13 - Research Publication - TSEASL compares newly generated regional trajectories with updated versions of previously selected paths to reduce abrupt guidance changes as perception updates the map. Evaluation combined a physical Clearpath Warthog… - source: arxiv.org
Kinodynamic-planning paper reports off-road field experiments with Clearpath Warthog UGV - 2025-09-30 - Research Publication - The paper studies kinodynamic motion planning across inconsistent world models for mobile robot navigation. The field experiment uses a Clearpath Robotics Warthog unmanned ground vehicle in an unstructured off-road… - source: arxiv.org
Incorporating Stochastic Models of Controller Behavior into Kinodynamic Efficiently Adaptive State Lattices for Mobile Robot Motion Planning in Off-Road Environments - 2025-08-06 - Research Publication - Researchers ran the KEASL planner on a physical Clearpath Warthog across unstructured off-road terrain using two different perception algorithms. Sampling stochastic controller behavior produced more conservative… - source: arxiv.org
Behavioral-entropy exploration paper evaluates Clearpath Warthog UGV in ROS-Unity simulation - 2024-02-15 - Research Publication - The paper introduces generalized behavioral entropy as an exploration objective for autonomous robots. The proof-of-concept evaluates exploration behavior with a Clearpath Warthog robot in a ROS-Unity simulation environment. - source: arxiv.org