Model Predictive Control for a quadrotor in static and dynamic environments
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Updated
Nov 11, 2021 - Python
Model Predictive Control for a quadrotor in static and dynamic environments
GRADE: Generating Animated Dynamic Environments for Robotics Research
Simulate dynamic environments and LiDAR observations
Optimal path planning using dynamic programming
Fast Gaussian process occupancy maps (GPOM) for dynamic environments using Big Data GP
Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.
Continual Multi-agent Reinforcement Learning in Dynamic Environments
Online motion control for a multirobot system based on model predictive control (MPC)
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