The 12th International Symposium on Adaptive Motion of Animals and Machines and 2nd LokoAssist Symposium
TU Darmstadt, Darmstadt, July 7th-11th, 2025
Exploring how animals and humans excel in adaptive movements, particularly locomotion, provides valuable insights for engineers seeking to enhance the adaptive capabilities of robots. In turn, robots serve as scientific tools to investigate the fundamental principles of biological systems, especially the neuromechanical mechanisms behind their remarkable motor abilities. This “adaptive intelligence” can be harnessed to design robots that improve our lives by assisting with locomotion. To comprehensively address the understanding of biological movement, the design of bioinspired robots, and their applications in assisting both humans and animals, we have merged the 12th AMAM symposium with the 2nd LokoAssist symposium, forming the AMAM/LokoAssist 2025 Symposium.
This event is dedicated to fostering fruitful interactions among biologists, engineers, and other researchers interested in adaptive motion. Previous AMAM symposia have been held in locations including Montreal, Canada (2000); Kyoto, Japan (2003); Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji, Japan (2011); Darmstadt, Germany (2013); Cambridge, USA (2015); Sapporo, Japan (2017); Lausanne, Switzerland (2019); Virtual Platform (2021); and Kobe, Japan (2023).
By addressing the interdisciplinary challenge of integrating active locomotion devices—such as orthoses, exoskeletons, and prostheses—into the daily movement experience of users, LokoAssist will extend AMAM's focus on locomotion assistance applications. The first LokoAssist Symposium was held in Darmstadt (2023).
This AMAM/LokoAssist 2025 Symposium aims to bring together researchers from fields such as robotics, biomechanics, neuroscience, sports science, neurophysiology, brain science, prosthetics, and other disciplines related to adaptive behavior in both biological and artificial systems.
- (opens in new tab) Preliminary Program of AMAM 2025 (PDF)
- AMAM2025 LaTeX (ZIP-File, 363kB)
- AMAM2025 Word (ZIP-File, 400kB)
Robot Zoo Information (Robot Demo)
The Robot Zoo is a special demo session at AMAM/LokoAssist 2025, inviting researchers to showcase their hardware, including robots, prostheses, orthoses, and more. Proposals from all areas related to adaptive motion in animals and machines and assistive technology are welcome. Proposals can be stand-alone or linked to an accepted paper at AMAM 2025. The demonstration will feature the hardware itself, and presenters will also be able to display a poster. The Robot Zoo session will be scheduled during the same time as the poster presentations. Demonstrators will also be able to provide brief remarks during the poster spotlight session.
- Robot Zoo Template LaTeX (ZIP-File, 320kB)
- Robot Zoo Template Word (ZIP-File, 343kB)
Workshops & Tutorials at AMAM 2025
Speakers
Registration
Registration is open, please refer to this Link: Registration Portal
A limited number of student registration fee waivers are available. To apply, send your personal info, affiliation, accepted paper details, and a short motivation paragraph to the conference email by April 30th. Selected applicants must register by the early bird deadline (15th of May).
Registration options:
Option 1 – Early bird student: 400,00€ (Available until May 15th)
Option 2 – Early bird regular: 550,00€ (Available until May 15th)
Option 3 – Student late: 550,00€
Option 4 – Regular late: 700,00€
Banquet: 85€
Program Committee
Useful Travel Information
Recommendations for Accomodation:
A limited number of discounted rooms have been reserved at the Welcome Hotel Darmstadt for AMAM/LokoAssist 2025 participants. To receive the discount, please use the booking code when making your reservation. AMAM2025
Karolinenplatz 4
64289 Darmstadt
Tel.: +49 6151 39140
(about 0.3 km to the conference venue)
Sights of Darmstadt
General Chair & Co-Chair
Name | Contact | |
---|---|---|
![]() | Dr. Maziar Ahmad Sharbafi Scientific Coordinator | sharbafi@sport.tu-... +49 6151 16- 24133 S1|15 46 |
![]() | Prof. Dr. André Seyfarth | seyfarth@sport.tu-... |