
Copyright: Jonas Ginter 2012
MOTIVATION AND RATIONALE


Copyright: DFKI RIC Copyright: Martin Haeusler
This interdisciplinary workshop explores the next generation of humanoid robots by bringing together advances in artificial intelligence, human–robot interaction (HRI), human evolution, and biomechanics.
In recent years, humanoid robots have achieved remarkable progress in dynamic motion and control. However, major challenges remain, including the gap between simulation and real-world performance, limited adaptability, and insufficient integration of human-centered interaction.
This workshop aims to address these challenges by fostering collaboration across disciplines and rethinking humanoid design through:
- AI-based robotics co-design and multi-modal motion generation
- Paleontological Evolution-Inspired Humanoid Design and Motion
- Biomechanics for Adaptive Humanoid Morphology and Motion
- Human-Robot Interaction for Powerful Humanoid
Our goal is to pave the way for humanoid robots that are adaptive, reliable, and truly useful in real-world environments.
KEYNOTE SPEAKER

Dr. med. Hendrik Pott, is an orthopaedic surgeon and researcher specializing in hip and knee arthroplasty at Pius-Hospital, Carl-von-Ossietzky University, Oldenburg, Germany. His work focuses on digital technologies that support both joint-preserving as well as joint-replacing surgeries of the lower limb. Main areas of research include robotic-assisted arthroplasty, 3D-printing and virtual reality in the operating theatre, as well as interdisciplinary projects on the ontogenetic and phylogenetic development of lower-limb alignment.
Keynote title:
Lower-limb alignment: Perspectives on the evolution of bipedal locomotion, modern arthroplasty andm biomechanical implications for implant and robotic design.
SCOPE AND TOPICS
The objective of this interdisciplinary workshop is to enable the exchange of ideas between research fields that are unaware of the other’s work. Bringing together these targeted research areas will foster the flourishing of AI-based humanoid robotics, HRI, human evolution (paleoanthropology), and biomechanics. Ultimately, the findings might pave the way for the next generation of humanoid robots, capable of being truly useful to society, while being safe and reliable by design. We invite contributions that include, but are not limited to, theoretical, computational, empirical, and embodied robotic contributions to the following topics:
Humanoid Design and Co-Design
- Integrated robot design and simulation
- Co-design based on optimization methods.
- RL-driven humanoid co-design.
- Robot’s structural co-design.
Humanoid Motion and Behaviors
- Multi-modal generative models (VLA, VA, LA).
- mitation Learning for Humanoid robots (locomotion, whole-body,…).
- Reinforcement Learning for locomotion, manipulation, loco-manipulation and contact-rich behaviors.
- Online stabilization in unstructured environments.
Human–Robot Interaction
- Embodied HRI.
- Robot nonverbal communication: gaze, posture, timing, coordination, full-body kinematics.
- Trust by design, shared intent, and interaction safety.
- Human-aware control for joint action.
- Real-world human–humanoid cooperation.
Human-evolution Paleoanthropology and Paleoenvironment-Informed Design
- Functional morphology of early hominins and implications for humanoid morphology.
- Paleoenvironmental modeling (habitat structure, substrate variability, thermoregulatory constraints).
- Evolutionary trade-offs and locomotor versatility as templates for adaptive robotic design.
Biomechanics for Robot Morphology and Control
- Musculoskeletal models capturing joint dependencies, coupling, and deformable contact.
- Multi-objective optimization: efficiency, stability, and agility.
- Biomechanical criteria for robot modeling.
- Biomechanical strategies for robot design and control approaches.
Applications, Benchmarks, and Demonstrations
- Humanoid robots for rescue, disaster response, exploration, and high-risk human environments.
- Evaluation of whole-body behaviors, interaction quality, and trustworthiness.
- Open-source datasets, simulation environments, and reproducible pipelines.
Format
The workshop is a one-day event designed to maximize interaction and collaboration across disciplines.
It includes:
- Keynote talk
- Oral presentations
- Poster sessions
- Panel discussions
- Networking opportunities
- Guided visit of the DFKI Robotics Innovation Center
Important Dates
- Submission Deadline: June 1
- Notification of Acceptance: June 15
- Workshop Dates: Between August 15–17 (final date to be confirmed)
Submission
Submission Types: extended abstracts, 2 pages maximum.
Submissions should be made via the following Google Form:
https://forms.gle/sN784Fy3XKf9n2UC6
Review Criteria
- Novelty and technical depth;
- Relevance to humanoid design, control, biomechanics, HRI, or human evolution;
- Motivation across at least two core domains;
- Clarity and rigor of methodology;
Workshop Schedule
Duration: 1 Day
Morning Session
- 09:00 – 09:05 – Opening Session
Introduction to the workshop, its motivation, and interdisciplinary vision. - 09:05 – 09:25 – Invited Talk
Keynote presentation by Dr. med. Hendrik Pott, Pius-Hospital Oldenburg, Germany. - 09:25 – 09:35 – Q&A Session
Discussion with the invited speaker. - 09:35 – 10:35 – Contributed Paper Session
Oral presentations selected from submissions. - 10:35 – 11:20 – Poster Session
Interactive poster presentations, demos, datasets, and tools. - 11:20 – 12:05 – Panel Discussion
Discussion with organizers and invited speaker on integrating AI, HRI, human evolution, and biomechanics. - 12:05 – 14:00 – Lunch Break & Networking
Afternoon Session
- 14:00 – 15:30 – Guided Visit – DFKI Robotics Innovation Center
Tour of the RIC facilities featuring terrestrial, space, underwater, and humanoid robotic platforms. - 15:30 – 16:15 – Collaborative Discussion & Coffee Break
Informal discussions to foster interaction and future collaborations. - 16:15 – 16:30 – Closing Session
Summary of key insights, future research directions, and collaboration opportunities.
Organizing Committee





Frank Kirchner, Professor at University of Bremen, German Research Center for Artificial Intelligence (DFKI) Robotics Innovation Center GmbH & The Robotics Institute Germany (RIG)
Organizing Institutions


