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Learning kinematic feasibility for mobile manipulation1

Robot Learning Lab

The Robot Learning Lab headed by Prof. Dr. Abhinav Valada7 is part of the Department of Computer Science8, the BrainLinks-BrainTools9 center, and the ELLIS unit Freiburg10. We seek to advance the foundations of robot perception, state estimation, and planning using learning approaches to enable robots to operate reliably in more complex domains and diverse environments. Our focus is to develop scalable lifelong robot learning systems that continuously learn multiple tasks from what they perceive using a diverse set of modalities and experience by interacting with the real world.

Explore our research on YouTube11 and our open-source code on GitHub12.

lab

News:

21.03.2025 We are co-organizing the Workshop on Resilient Off-road Autonomous Robotics13 at RSS'2514.
17.10.2024 Our work on BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation15 by J. Schramm, N. Vödisch, K. Petek, B.R. Kiran, S. Yogamani, W. Burgard, and A. Valada won the IROS Best Paper on Cognitive Robotics16 and was a finalist for the IROS Best Student Paper Award16.
17.10.2024 Abhinav Valada7 received the IROS Toshio Fukuda Young Professional Award16 "for contributions to the advancement of robot learning".
14.10.2024 Our work on Taxonomy-Aware Continual Semantic Segmentation17 by Julia Hindel, Daniele Cattaneo, and Abhinav Valada won the Outstanding Workshop Presentation Award18 at IROS Workshop on Long-Term Perception for Autonomy in Dynamic Human-shared Environments.
14.10.2023 We are co-organizing the Workshop on Label Efficient Learning Paradigms for Autonomy at Scale19 and the Workshop on Interaction-aware Autonomous Systems20 at IROS 202421.
14.07.2024 Niclas Vödisch22 was selected for RSS Pioneers23 recognizing world's top early career researchers in robotics.
16.05.2024 Our work on Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation24 by J.O. Von Hartz, E. Chisari, T. Welschehold, W. Burgard, J. Boedecker, and A. Valada was awarded the IEEE Robotics and Automation Letters Best Paper Award - Honorable Mention25.
03.05.2024 Daniel Honerkamp26, Tim Welschehold27, and Abhinav Valada7 were awarded the third place at the Future Prize (Zukunftspreis) for their work on "Neural Navigation for Mobile Manipulation".
01.08.2023 Abhinav Valada7 was appointed Full Professor, Chair of Autonomous Intelligent Systems.
01.06.2023 Abhinav Valada7 received the IEEE RAS Early Career Award in Robotics and Automation28 "for contributions to learning and perception for robot navigation".
20.01.2023 Abhinav Valada7 conferred Honorary Professorship at Amity University.
23.10.2022 D. Honerkamp, T. Welschehold, and A. Valada won the Best Paper Award29 for their work on Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments30 at the IROS 2022 Workshop on Mobile Manipulation and Embodied Intelligence.
13.08.2022 Rohit Mohan31 and Abhinav Valada7 won the Most Innovative Research Award for their work on "Amodal Panoptic Segmentation" at the AutoSens 202232 conference.
25.04.2022 Abhinav Valada7 receives the NVIDIA Research Award.
22.04.2022 We are co-organizing the Workshop on Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments33 and the Tutorial on Open and Trustworthy Deep Learning for Robotics34 at IROS 202235.
03.02.2022 We are co-organizing the Workshop on 3D-Deep Learning for Automated Driving36 at IV 202237.
14.12.2021 Abhinav Valada7 was awarded an AI grant and accepted into the renowned Emmy Noether Programme38 of the German Research Foundation (DFG).
13.12.2021 The University of Freiburg39 features our work on holistic scene understanding for automated vehicles in the online magazine40.
15.10.2021 We are co-organizing the AI Driving Olympics41 at NeurIPS 202142.
20.06.2021 Abdelrahman Younes43, Daniel Honerkamp26, Tim Welschehold27, and Abhinav Valada7 won the Embodied AI SoundSpaces Challenge44 at CVPR 202145.
01.04.2021 We are co-organizing workshops on 3D-Deep Learning for Automated Driving46 and Scene Understanding in Unstructured Environments47 .
24.02.2021 Abhinav Valada7 is appointed as Chair48 of the IEEE Robotics and Automation Society Technical Committee on Robot Learning49.
10.12.2020 Abhinav Valada7 received the Silver in the AutoSens 2020 Vision Award50 for being a visionary and inspiring progress throughout the vehicle perception ecosystem.
30.11.2020 Abhinav Valada7 was elected as a Scholar of the European Laboratory for Learning and Intelligent Systems (ELLIS) Society51.
28.08.2020 The lightweight EfficientPS52 by Rohit Mohan31 and Abhinav Valada7 wins the Robust Vision Challenge 202053 Panoptic Segmentation Track, that was held in conjunction with ECCV202054.
30.07.2020 Robot Learning Lab gets support from the Eva Mayr-Stihl Stiftung55 through a research grant.
10.05.2020 Our EfficientPS2 is ranked #1 for panoptic segmentation on the popularly challenging Cityscapes benchmark leaderboard56 and advances the state-of-the-art on KITTI, Mapillary Vistas, and IDD.
04.03.2020 We are organizing a workshop on Self-Supervised Robot Learning57 at the Robotics: Science and Systems Conference (RSS’2020)14.
15.01.2020 We are co-organizing a workshop on 3D-Deep Learning for Automated Driving58 at the IEEE Intelligent Vehicles Symposium (IV’2020)59.
19.12.2019 Abhinav Valada7 becomes a member of the BrainLinks-BrainTools60 center, funded by the Federal Ministry of Economics, Science and Arts of Baden-Württemberg.
11.12.2019 The University of Freiburg was selected as one of 17 ELLIS61 centers of excellence in machine learning in Europe. Abhinav Valada7 is a faculty in the newly established Freiburg unit.
01.08.2019 Abhinav Valada7 will serve as an Associate Editor for the IEEE Robotics and Automation Letters (RA-L)62 journal.

Links

  1. https://rl.uni-freiburg.de/research/kinematic-feasibility-rl
  2. https://rl.uni-freiburg.de/research/panoptic
  3. http://ais.informatik.uni-freiburg.de/publications/papers/boniardi19iros.pdf
  4. http://deepscene.cs.uni-freiburg.de
  5. http://autoland.cs.uni-freiburg.de
  6. https://youtu.be/tocc6Niwa4g
  7. https://rl.informatik.uni-freiburg.de/people/valada
  8. http://www.informatik.uni-freiburg.de
  9. http://www.brainlinks-braintools.uni-freiburg.de
  10. https://ellis.uni-freiburg.de
  11. https://www.youtube.com/channel/UCRpM8k1GY3kD2TqCo_yKN3g
  12. https://github.com/robot-learning-freiburg
  13. https://off-roaders.github.io/off-road-workshop-2025/
  14. https://roboticsconference.org
  15. https://arxiv.org/abs/2403.11761
  16. https://iros2024-abudhabi.org/awards-and-finalists
  17. https://arxiv.org/abs/2407.18145
  18. https://mit-spark.github.io/Longterm-Perception-WS
  19. https://bob-workshop.github.io
  20. https://iaas-workshop.github.io/
  21. https://iros2024-abudhabi.org
  22. http://www2.informatik.uni-freiburg.de/~voedisch/
  23. https://sites.google.com/view/rsspioneers2024
  24. https://arxiv.org/abs/2305.04718
  25. https://www.ieee-ras.org/publications/ra-l/ra-l-paper-awards
  26. https://rl.informatik.uni-freiburg.de/people/honerkamp
  27. https://rl.informatik.uni-freiburg.de/people/welschehold
  28. https://www.ieee-ras.org/awards-recognition/society-awards/ras-early-career-award-academic
  29. https://mobile-manipulation.net/events/moma2022
  30. https://arxiv.org/abs/2206.08737
  31. https://rl.informatik.uni-freiburg.de/people/mohan
  32. https://auto-sens.com/events/awards/
  33. https://iros2022-pnarude.github.io/
  34. https://sites.google.com/view/iros-2022-open-robotics/
  35. https://iros2022.org
  36. https://sites.google.com/view/3d-dlad-v4-iv2022
  37. https://iv2022.com/
  38. https://www.pr.uni-freiburg.de/pm-en/personalia-en/abhinav-valada-awarded-emmy-noether-ai-grant?set_language=en
  39. https://uni-freiburg.de
  40. https://www.pr.uni-freiburg.de/pm-en/online-magazine/research-and-discover/step-by-step-toward-safe-autonomous-driving
  41. https://driving-olympics.ai/
  42. https://nips.cc/Conferences/2021/
  43. https://rl.informatik.uni-freiburg.de/people
  44. https://soundspaces.org/challenge
  45. http://cvpr2021.thecvf.com/
  46. https://sites.google.com/view/3d-dlad-v3-iv2021
  47. https://unstructured-scene-understanding.com
  48. https://www.ieee-ras.org/robot-learning/contact
  49. https://www.ieee-ras.org/robot-learning
  50. https://auto-sens.com/autosens-award-winners-crowned/
  51. https://ellis.eu/
  52. https://arxiv.org/abs/2008.10112
  53. http://robustvision.net
  54. https://eccv2020.eu
  55. https://eva-mayr-stihl-stiftung.de/en
  56. https://www.cityscapes-dataset.com/benchmarks/#panoptic-results
  57. https://www.brainlinks-braintools.uni-freiburg.de/rss20-ssrl
  58. https://sites.google.com/view/3d-dlad-v2-iv2020
  59. https://2020.ieee-iv.org
  60. https://www.brainlinks-braintools.uni-freiburg.de/news/id/733
  61. https://ellis.eu/en/news/17-ellis-units-across-10-european-countries-and-israel-established
  62. https://www.ieee-ras.org/publications/ra-l