Sampling based Model Predictive Control package for Model-Based RL research
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Updated
Oct 20, 2020 - Python
Sampling based Model Predictive Control package for Model-Based RL research
A ROS package of a autonomous navigation method based on SAC and Bidirectional RRT* (Repository RL-RRT-Global-Planner).
off-road navigation simulator for benchmarking planning algorithms
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces (AAMAS-22)
Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
A 2D simulation in Pygame of the paper "Randomized Kinodynamic Planning" by Steven M. LaValle, and James J. Kuffner, Jr.
This repository implements various Search Based (Heuristic and Incremental) and Sampling Based (Multi Query and Single Query) motion planning algorithms using ROS and turtlebot
Implementations with interactive visualizations of multiple motion planning algorithms.
A 2D simulation in Pygame of the paper "Rapidly-exploring random trees: A new tool for path planning" by Steven M. LaValle.
A 2D simulation in Pygame of the paper "Probabilistic roadmaps for path planning in high-dimensional configuration spaces" by L.E. Kavraki, P. Svestka, J.-C. Latombe, and M.H. Overmars.
Constrained Motion Planning Method with Latent Jumps
Time-Aware Probabilistic Roadmaps (TA-PRM*)
Implementation of Sampling Based Searching Algorithms for Navigation
A 2D simulation in Pygame of the paper "Visibility-based Probabilistic Roadmaps for Motion Planning" by T. Siméon, J-P. Laumond, and C. Nissoux.
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