Stars
Continual Distillation Learning: An Empirical Study of Knowledge Distillation in Prompt-based Continual Learning
iTeach: Interactive Teaching for Robot Perception using Mixed Reality 🤖🌐
Autonomous Exploration, Construction and Update of Semantic Map in real-time
A Python package that provides evaluation and visualization tools for the HOCap dataset
IRVLUTD / fetch_ros_IRVL
Forked from ZebraDevs/fetch_rosOpen ROS Components for Robots from Fetch Robotics/ IRVL Fetch Robot with ATI F/T sensor and deformable UMI fingers
ROS packages for multi robot exploration, with custom set of parameters for efficient exploration in large environments
Deep learned, NVIDIA-accelerated 3D object pose estimation
NIDS-Net: A unified framework for novel instance detection and segmentation
Code for CVPR2024 'Segment Every Out-of-Distribution Object '
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
MultiGripperGrasp Toolkit 2.0. Simulation Tools for the MultiGripperGrasp Dataset
Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
IRVLUTD / gqcnn
Forked from BerkeleyAutomation/gqcnn[DexNet] Python module for GQ-CNN training and deployment with ROS integration.
Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Unseen Object Instance Segmentation with MSMFormer. (ICRA 2024 and RSS 2023)
The research tools developed for HoloLens2
Hand Detection + Pose Estimation | https://arxiv.org/abs/2207.02959 | https://openreview.net/forum?id=OzP68WT3UA
Dataset generation for NeuralGrasps https://arxiv.org/abs/2207.02959
Model and associated utility code for NeuralGrasps https://arxiv.org/abs/2207.02959