Simulate dynamic environments and LiDAR observations
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Updated
May 13, 2021 - Python
Simulate dynamic environments and LiDAR observations
Model Predictive Control for a quadrotor in static and dynamic environments
Fast Gaussian process occupancy maps (GPOM) for dynamic environments using Big Data GP
Optimal path planning using dynamic programming
GRADE: Generating Animated Dynamic Environments for Robotics Research
Online motion control for a multirobot system based on model predictive control (MPC)
Continual Multi-agent Reinforcement Learning in Dynamic Environments
Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.
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