SW StarLab: Recognition, Action, and Interaction Algorithms for Open-World Robot Service
The goal of this project is to develop algorithmic software to enable service robots to operate effectively in unstructured open-world environments. Taking an open-world service perspective, our aim is to identify key academic, technical, and functional challenges and conduct research on the underlying technology to address them. Specifically, we focus on studying foundational technologies related to recognition, action, and interaction systems for robot services. The academic and SW results derived from this project will be released as open-source. We hope this will contribute to solving the challenges of open-world robotics. 🙂
Software
Redistribution
- Spherical Hashing [Project / Code(C++) / Code(MATLAB) / GitHub]
- Adaptive Rendering based on Weighted Local Regression [Project / Code]
- Memory-Efficient NBNN Image Classification [Project / Code / GitHub]
- Super Ray-based Updates for Occupancy Maps [Project / Code / GitHub]
- Kinodynamic Comfort Trajectory Planning for Car-like Robots [Project / Code / GitHub]
- Regional Attention Based Deep Feature for Image Retrieval [Project / Code / GitHub]
- Single Image Reflection Removal with Physically-Based Training Images [Project / Code / GitHub]
- Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Project / Code / GitHub]
- Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning [Project / Code]
- Part-based Pseudo Label Refinement for Unsupervised Person Re-identification [Project / Code / GitHub]
- Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data [Project / Code / GitHub]
2023
- Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising [Project / GitHub]
- Multi-Resolution Distillation for Self-Supervised Monocular Depth Estimation [Project / GitHub]
- Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators [Project / GItHub]
- Topological RANSAC for Instance Verification and Retrieval without Fine-tuning[Project / GitHub]
- Feature Separation and Recalibration for Adversarial Robustness [Project / GitHub]
- Towards Content-based Pixel Retrieval in Revisited Oxford and Paris [Project / GitHub]
2024
- SemCity: Semantic Scene Generation with Triplane Diffusion [Project / GitHub]
- UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets [Project / GitHub]
- Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation [Project / GitHub]
- Regularizing Dynamic Radiance Fields with Kinematic Fields[Project / GitHub]
- Fine-grained Background Representation for Weakly Supervised Semantic Segmentation[Project / GitHub]
- Generalizable Person Re-identification via Balancing Alignment and Uniformity[Project/GitHub]
2025
- OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning[Project/GitHub]
- AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption[Project/GitHub]
- Pose-free 3D Gaussian Splatting via Shape-Ray Estimation[Project/GitHub]
- Enhancing Visual Re-ranking through Denoising Nearest Neighbor Graph via Continuous CRF[Project/GitHub]
- Towards Robustness of Person Search against Corruptions[Project/GitHub]
- AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields[Project/GitHub]
- Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending[Project/GitHub]