Stars
[RSS 2026] Learning When to Jump for Off-road Navigation
[ICLR 2026] DispViT: Direct Stereo Disparity Regression with a Single-Stream Vision Transformer
[ICCV 2025 Highlight] BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment
[CVPR 2025] SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
[RA-L 2026] Fast Task Planning with Neuro-Symbolic Relaxation
The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy
[RA-L 2025] Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
[RA-L 2025] iA*: Imperative Learning-based A* Search for Path Planning
Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
A PyTorch Library for Multi-Task Learning
A highly robust and accurate LiDAR-only, LiDAR-inertial odometry
Visual Neuro-Symbolic Friction Learning for Off-road Navigation
[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling
Convert a PDDL domain into an OpenAI Gym environment.
Release repo for our SLAM Handbook
Sampling-based model predictive control on GPU with JAX/MJX
[ECCV 2024] iMatching: Imperative Correspondence Learning
Boilerplate for robot autonomy. Designed for multi-robot, real world deployment with TAK.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Real-time behaviour synthesis with MuJoCo, using Predictive Control
[IROS 2024] iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
Python sample codes and textbook for robotics algorithms.
[CVPR 2024] Neural Markov Random Field for Stereo Matching
[IROS 2024] PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
An open source framework for research in Embodied-AI from AI2.