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Blue River Technology
- San Francisco Bay Area
- https://www.linkedin.com/in/junwuzhang/
Stars
A generative world for general-purpose robotics & embodied AI learning.
Stuff I read to learn about robotics system design and more.
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
control the position and orientation of a robotiq gripper, also the gripper opening angle
We released a toolbox for automatic hand-eye calibration between Intel Realsense camera and Universal Robot 5 based on easy hand-eye calibration
A simple implementation of dynamical movement primitives for demonstration purposes
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
Tutorial for using Kitti dataset easily
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
conditional variational autoencoder written in Keras [not actively maintained]
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Simulation for the Real Robot Challenge (https://real-robot-challenge.com)
krishpop / spinningup
Forked from openai/spinningupAn educational resource to help anyone learn deep reinforcement learning.
[ICCV 2019] Official PyTorch Implementation of "Ego-Pose Estimation and Forecasting as Real-Time PD Control". ICCV 2019.
See the Future: A Semantic Segmentation Network Predicting Ego-vehicle Trajectory with a Single Monocular Camera
Code/data of the paper "Future Person Localization in First-Person Videos" (CVPR2018)
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
ROS Package for Autonomous Navigation for Differential drive robots
Pytorch framework for doing deep learning on point clouds.
Real time semantic slam in ROS with a hand held RGB-D camera