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nkalavak
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Official implementation of Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"
A collection of Matlab classes implementing the Geometric Algebra G(3,0,1) for homogeneous transformations of 3D rigid bodies in 4D projective space, primarily based on Lengyel's convention.
Comprehensive open source book on basic topology, smooth manifolds, differential geometry, Lie theory, homological algebra, and index theory.
Sampler + Optimizing Motion Planning Demonstrations
PyRoboLearn: a Python framework for Robot Learning
Robotics Toolbox for Python
Simulation Software (ROS/MATLAB) for HECTOR Humanoid Robot Locomotion Control/Bipedal Locomotion Control/Force-and-moment-based MPC
Educational Python library for manipulator motion planning
[CoRL 2024] Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
Python sample codes for robotics algorithms.
This package is modified for tracking humans and small moving obstacles for tracking velocity, radius, and position
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
Action Chunking Transformer implementation for low cost robot
An image processing pipeline for ROS.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.
Model-based design and verification for robotics.
A reimplementation of 2D Convolutional and Transposed Convolutional Layers in PyTorch, designed for easy modifications and analysis. Includes comprehensive explanations and testing.
solution of exercises of the book "probabilistic robotics"