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Discrete-Continuous-VLN · YicongHong
Code and Data of the CVPR 2022 paper: Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
Navigation & SLAMTHE EMBODIED AI DIRECTORY
Discover robot simulation software, ROS 2 middleware, motion planning and Python robot learning tools.
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Code and Data of the CVPR 2022 paper: Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
Navigation & SLAM
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Official implementation of "Data Scaling Laws in Imitation Learning for Robotic Manipulation"
Robot learning frameworks
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🦀 Appearance and scene design for Jumper, an open-source crab robot.
Robot learning frameworks
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An Optimization-Based GNSS/INS Integrated Navigation System
Navigation & SLAM
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Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment…
Navigation & SLAM
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Edge deployment guide for InternNav-based perception and navigation on Unitree Go2 / Go2W / B2 robots (ROS 2, RealSense, Python).
Navigation & SLAM
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A Python-based lightweight robot simulator designed for navigation, control, and learning
Navigation & SLAM
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Collection of online robotics courses and learning resources.
Robot learning frameworks
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Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
Navigation & SLAM
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KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
Navigation & SLAM
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Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
Simulation & physics
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Training a humanoid robot for locomotion using Reinforcement Learning
Robot learning frameworks
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Vehicle and mobile-robot simulator with C++ and Python APIs.
Motion planning & control
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robopal: a multi-platform, modular robot simulation framework based on MuJoCo, mainly used for reinforcement learning and control algorithm implementation of robotic arms.
Simulation & physics
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A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a…
Perception & geometry
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Publishes robot link transforms from joint states and robot descriptions.
Robot learning frameworks
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Modular reinforcement-learning tools for control and simulation workflows.
Robot learning frameworks
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Task-space inverse dynamics library built on Pinocchio.
Motion planning & control
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ROS 2 packages for connecting robots and controllers to Webots.
Navigation & SLAM
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FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
Visualization & data tools
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