Abstract

The rapid advancements in robotics have made bimanual manipulation a pivotal capability for enabling effective human-humanoid collaboration in complex, unstructured, and dynamic real-world environments. This workshop aims to bring together researchers, practitioners, and industry experts to explore the latest advancements, address critical challenges, and inspire innovative solutions in bimanual human-humanoid interaction and collaboration, with a specific focus on emerging technologies and applications.

This workshop introduces new and timely topics, including long-horizon co-manipulation, intuitive collaborative interfaces, and perception-based understanding of human behaviors and intentions. Additionally, this iteration emphasizes practical applications, interdisciplinary collaboration, and ethical considerations, such as ensuring safety, fostering trust, and addressing societal impacts like labor displacement and inequality.

Key topics of interest include:

• Applications of Human-Humanoid Co-Manipulation

• Intuitive Collaborative Interfaces for Human-Humanoid Co-Manipulation

• Learning and Adaptation in Human-Humanoid Co-Manipulation

• Modeling, Planning, and Control in Human-Humanoid Co-Manipulation

• Safety, Trust, and Ergonomics in Human-Humanoid Co-Manipulation

• Long-Horizon Human-Humanoid Co-Manipulation

• Perception and Understanding of Human Behaviors in Co-Manipulation

By fostering discussions among experts in perception, control, learning, and interaction design, this workshop will provide a platform to bridge the gap between cutting-edge research and real-world implementation. Attendees will engage in interactive talks, poster sessions, and panel discussions, advancing the field of bimanual manipulation and shaping the future of human-humanoid collaboration at IROS 2025.

Objectives

The primary objective of the workshop on “Bimanual Manipulation: Advancing Human-Humanoid Interaction and Collaboration” is to bring together researchers, practitioners, and industry experts to address the key challenges and opportunities in bimanual manipulation as it relates to human-humanoid collaboration. This workshop aims to foster discussions that bridge the gap between cutting-edge research and real-world implementation, with a particular focus on emerging areas and timely topics within human-humanoid collaboration. The workshop accepts paper submissions and 10 posters will be presented. The workshop encourages contributions on a wide range of related topics to address both theoretical advancements and practical applications in the field. It aims to foster discussions that bridge the gap between cutting-edge research and real-world implementation, with a particular focus on human-humanoid collaboration.

Call for papers

The workshop topics include, but are not limited to:

• Applications of Human-Humanoid Co-Manipulation

• Intuitive Collaborative Interfaces for Human-Humanoid Co-Manipulation

• Learning and Adaptation in Human-Humanoid Co-Manipulation

• Modeling, Planning, and Control in Human-Humanoid Co-Manipulation

• Safety, Trust, and Ergonomics in Human-Humanoid Co-Manipulation

• Long-Horizon Human-Humanoid Co-Manipulation

• Perception and Understanding of Human Behaviors in Co-Manipulation

Submission guidelines

workshop accepts contributions based on the following criteria:

• The submission should be from 2 to 8 pages long. The paper should follow the IEEE RAS template.

• The review process is single-blind.

• Submissions should contain a clear focus on field robotics and feature lessons learned and/or field experience reports.

• We welcome prospective and conceptual papers as well.

• Accepted papers will be available on the workshop website. The authors of accepted papers will be invited to present their results in a poster session during the workshop.

To submit a paper, please see the official OpenReview page.

Awards   

• Best Poster Award (150 USD)

• Best Poster Award (Finalists) (100 USD each)

• Eligibility: The awardees must 

• 1. be listed among the authors of the submission;

  2. attend the workshop in person (not remotely);

  3. be a student or early-career researcher (i.e., post-doc, research assistant/associate,  assistant professor/researcher);

  4. agree to present their work in 'Poster Spotlight Teaser' session, and to participate in the 'Panel Discussion' session.

These awards are sponsored by the IEEE Technical Committee on Algorithms for Planning and Control of Robot Motion.