Motion Planning • Multi-Contact Control • Generative AI • Humanoid Robotics
Despite rapid progress in humanoid robotics, complex multi-contact motion planning for highly dynamic tasks remains a fundamental challenge. This workshop explores the intersection of generative AI (diffusion models & transformers) for high-level contact planning and reinforcement learning for whole-body control, using rock climbing as a challenging benchmark.
The goal of the Hackathon is to climb small walls using humanoid-shaped robots.
The three challenges below can be tackled independently — teams are free to focus on any single challenge or combine several of them.
Build a 3D model of the climbing wall and estimate the robot's pose in real time. Can be addressed independently of planning and control.
Generate a feasible path and contact sequence for climbing the wall. Fiducial markers can be used so perception is not required.
Whole-body execution of the planned motion on a physical robot platform. A pre-computed contact plan can be provided so planning is not required.
Climbing robot prototype developed by the organizers.
Microban will be used as a base to design a climber for the Hackathon.
Specifications for the small climbing wall and the robotic platforms are still being designed — they will be published here as soon as they are finalized.
Rhoban/microban on GitHubWe welcome all students and researchers interested in robotics and/or AI, regardless of experience level.
Interested in joining? Send us an email or subscribe to the mailing list for updates on registration, the simulator release, and updates to the rules.
Get in Touch| Country | City | Structure |
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Taipei | National Taiwan Normal University (NTNU) |
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Wolfenbüttel | Ostfalia University of Applied Sciences |
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Talence | ENSEIRB-MATMECA, option Robotique Autonome (Team A) |
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Talence | ENSEIRB-MATMECA, option Robotique Autonome (Team B) |
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Edinburgh | University of Edinburgh |
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Talence | Inria, Mnemosyne team |
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Bordeaux | University of Bordeaux, DROBOTIQUE |
This list is updated as registrations come in.
The workshop is held at the SMART (Sport, Motion, Arts & Research Technology) sports science research facility in Bordeaux, France. The site features a full motion capture studio, force platforms, and an indoor climbing wall — ideal for human climbing data collection and robot experimentation.
Complexe sportif SMART, Bordeaux, France
| Wednesday, 28 October 2026 | |
| 10:00 | Visit of Pollen Robotics |
| Afternoon | Setting up Installation of the climbing wall and of the robotic platforms. |
| Thursday, 29 October 2026 | |
| 09:00 | Hackathon kick-off Opening of the hackathon and introduction to the platforms. |
| After kick-off | Daily meeting / Tutorials Hands-on tutorials on the simulator and the robotic platforms. |
| 12:00 | Standing buffet lunch Walking lunch (cocktail déjeunatoire) offered by the organizers. |
| Afternoon | Hackathon |
| Evening | Welcome reception Arrival of the remaining participants, welcome reception. |
| Friday, 30 October 2026 | |
| 09:00 – 10:00 | Daily meeting / Tutorials Daily briefing of the teams, followed by a tutorial session. |
| From 10:00 | Hackathon Team work and live testing sessions on the climbing wall. |
| Saturday, 31 October 2026 | |
| 09:00 – 10:00 | Daily meeting / Tutorials Daily briefing of the teams, followed by a tutorial session. |
| From 10:00 | Hackathon |
| 14:00 | Internship & PhD opportunities Presentations by Bordeaux (France), Edinburgh (Scotland), Taipei (Taiwan) and Wolfenbüttel (Germany). |
| Afternoon | Hackathon continues |
| Sunday, 1 November 2026 | |
| Morning | Final hackathon sprint |
| 11:00 | Closing day Debriefing, final demos and Hackathon Trophies ceremony. |
| Afternoon | Dismantling the setup End of the event. |
All the time not listed above, from 29 October to the morning of 1 November, is dedicated to hackathon work.
| Start | 29 Oct 2026 |
| Hackathon | 29–31 Oct 2026 |
| End | 1 Nov 2026 |
| Location | Bordeaux, France |
Taiwan — NTNU
France
Germany