PyBullet

The 'PyBullet' dataset/benchmark is a simulation environment used to evaluate robotic systems, specifically assessing their performance in various tasks such as re-planning, failure recovery, and policy enforcement.

Papers using PyBullet (6)

DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties2026AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules2026Push-Placement: A Hybrid Approach Integrating Prehensile and Non-Prehensile Manipulation for Object Rearrangement2026Intelligent Singularity Avoidance in UR10 Robotic Arm Path Planning Using Hybrid Fuzzy Logic and Reinforcement Learning2026U-LAG: Uncertainty-Aware, Lag-Adaptive Goal Retargeting for Robotic Manipulation2025Trajectory Adaptation using Large Language Models2025