Posts
- Aug 2025 Summer Schools 2025: ELLIS Cambridge & OxML Oxford My experience at two world-class summer schools: ELLIS Cambridge (Probabilistic ML) and OxML Oxford (Representation Learning & Generative AI). Key insights and program highlights.
- Jun 2025 Automatica 2025: DLR Showcasing the Future of Robotics DLR's robotics showcase at Automatica 2025 Munich: TORO humanoid, AIMM autonomous system, EDAN assistive robot, SARA with LLM+KMP integration, and HUG haptic interface.
- Apr 2025 ICRA 2025: RACCOON — Grounding Embodied Question-Answering in Robotics Our RAG-based approach for truthful foundation model question-answering in robotics was accepted by IEEE ICRA.
- Feb 2025 RA-L 2025: Interactive Incremental Learning of Generalizable Robot Skills Probabilistic machine learning method for interactive robot skill modulation using task-parameterized, kernelized approach (TP-KMP). Published in IEEE RA-L 2025.
- Nov 2024 CoRL 2024: Spotlight Presentation at CoRoboLearn Workshop Spotlight presentation and two papers at the CoRoboLearn Workshop (Advancing Learning for Human-Centered Collaborative Robots) at CoRL 2024 in Munich.
- Jul 2024 RSS 2024: Embodied Question-Answering at GenAI-HRI Workshop Presenting our RAG-based approach for grounded robot question-answering at the GenAI-HRI Workshop at RSS 2024 in Delft, Netherlands.
- Apr 2024 Automatica 2023 & Hannover Fair 2024: Task-Parameterized Robot Demo Live demonstration of task-parameterized robotic approach at Automatica 2023 and Hannover Fair 2024, showcasing interactive robot learning capabilities.
- Oct 2023 Project: BlenderProc — Photorealistic Rendering for Computer Vision (3.4k+ GitHub Stars) Popular open source project for fast creation of training images for deep neural networks in computer vision.
- Oct 2022 Dataset: HOWS-CL-25 — A Continual Learning Dataset for Household Objects HOWS-CL-25: A comprehensive synthetic dataset with 150,795 unique images across 25 household object categories for continual learning research, created using BlenderProc.
- Oct 2022 IROS 2022: RECALL — Rehearsal-Free Continual Learning for Object Classification RECALL: A novel rehearsal-free continual learning approach for object classification achieving SOTA results. Published at IEEE IROS 2022.