⚡Speakers⚡

TBD

Objectives

We are excited to announce our 10th Can we build Baymax? workshop! This year's workshop will focus on what our community has been able to build so far.

Baymax is a humanoid robot character in the Disney animation “Big Hero 6.” It is a healthcare robot with an inflatable body, capable of walking, bumping into surrounding objects, manipulating, learning new skills, talking, and physically interacting with people. In the movie, students from the Nerd Lab in the fictional San Fransokyo Institute of Technology develop many interesting technologies including Baymax. However, in the real world, it is not easy to build and teach such a robot.

As a continuation of our previous workshops, this workshop will bring together robotics researchers working robots like baymax, including HRI, sensing, compliant hardware, and internal humanoid structures.

Since our first workshop in 2015, the series has taken place at the IEEE-RAS International Conference on Humanoid Robots every year. For our 10th anniversary, the workshop will discuss how close we are to reaching our goal today, and we will organize a real-world demonstration session called BYOB (Bring Your Own Baymax), inviting researchers to participate with their own Baymax robots. We invite you to contribute and to participate in this workshop! baymax.org



Previous Workshops:

2024: Learning and Data Collection for Skillful Humanoid Robots
2023: Let’s talk about Safe, Commercially Viable Humanoids!
2022: Education and Open Source for Humanoid Robots
2021: Superhuman Abilities in Current Humanoids
2019: Human-Humanoid Communication
2018: Fail-Safe HW & SW and Learning in Humanoid Robots
2017: Design and Control for Soft Human-Robot Interaction
2016: Making Hard Robots Soft: Sensors, Skin and Airbags
2015: Soft Robotics and Safe Human-Robot Interaction in Humanoids

Workshop Schedule

TBD

Organizers


Christopher G. Atkeson

I am a Professor in the Robotics Institute and Human-Computer Interaction Institute at Carnegie Mellon University. My life goal is to fulfill the science fiction vision of machines that achieve human levels of competence in perceiving, thinking, and acting. A more narrow technical goal is to understand how to get machines to generate and perceive human behavior. I use two complementary approaches, exploring humanoid robotics and human aware environments. Building humanoid robots tests our understanding of how to generate human-like behavior, and exposes the gaps and failures in current approaches.

build-baymax.org

Gordon Cheng

Professor Cheng researches the fundamental understanding and construction of cognitive systems. He has made pioneering contributions in Humanoid Robotics, Neuroengineering, Artificial Intelligence for the past 20 years.

Professor Cheng studied information sciences at Wollongong University (Australia) and was awarded a doctorate in systems engineering in 2001 at the department of systems engineering of the Australian National University. He founded the department of humanoid robotics and computational neuroscience at the Institute for Advanced Telecommunications Research in Kyoto (Japan), where he was Department Head from 2003 to 2008. In addition, from 2007 to 2008 he was a project manager at the National Institute of Information and Communications Technology (Japan) and the Japan Science and Technology Agency, where he was responsible for the Computational Brain project (2004-2008). Since 2010, Professor Cheng has been conducting research and teaching at TUM as full professor of cognitive systems. He is coordinator of the Center of Competence Neuro-Engineering in the department of Electrical and Computer Engineering and speaker of the newly established Elite Master of Science program in Neuroengineering (MSNE) of the Elite Network of Bavaria.

Joohyung Kim

Joohyung Kim is currently an Associate Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. His research focuses on design and control for humanoid robots, systems for motion learning in robot hardware, and safe human-robot interaction. He received BSE and Ph.D. degrees in Electrical Engineering and Computer Science (EECS) from Seoul National University, Korea, in 2001 and 2012. He was a Research Scientist in Disney Research from 2013 to 2019. Prior to joining Disney, he was a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University for the DARPA Robotics Challenge in 2013. From 2009 to 2012, he was a Research Staff Member in Samsung Advanced Institute of Technology, Korea, developing biped walking controllers for humanoid robots.

KIMLAB (Kinetic Intelligent Machine LAB)

Jinoh Lee

Jinoh Lee is a Research Scientist with the Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Germany. He received the B.S. degree in mechanical engineering from Hanyang University, Seoul, South Korea, in 2003 (awarded Summa Cum Laude), and the M.Sc. and Ph.D. degrees in mechanical engineering from Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2012. Prior to joining DLR in 2020, he held the Research Scientist position at the Department of Advanced Robotics, Istituto Italiano di Tecnologia (IIT), Italy. His professional focus is on robotics and control engineering, which include manipulation of highly redundant robots such as dual-arm and humanoids, robust control of nonlinear systems and compliant robotic system control for safe human-robot interaction.

Institute of Robotics and Mechatronics

Katsu Yamane

Dr. Katsu Yamane is a Principal Research Scientist at Path Robotics Inc. He received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering in 1997, 1999, and 2002 respectively from the University of Tokyo, Japan. Prior to joining Path Robotics in 2022, he held research scientist positions at Bosch Research North America, Honda Research Institute USA, and Disney Research, Pittsburgh. He was also an Associate Professor at the University of Tokyo, and a postdoctoral fellow at Carnegie Mellon University. While his current research focuses on manipulation planning and control for manufacturing, he is still passionate about humanoid robot control and motion synthesis, physical human-robot interaction, character animation, and human motion simulation.

katsuyamane.com

Alex Alspach

Alex designs and builds soft systems for sensing and manipulation at Toyota Research Institute (TRI), where he currently leads the Whole-Body Manipulation Team. He earned his bachelor's and master's degrees at Drexel University with time spent in the Drexel Autonomous Systems Lab (DASL) and KAIST's HuboLab. After graduating, Alex spent two years at SimLab in Korea developing and marketing tools for manipulation research. While there, he also worked with a production company to develop artists' tools for animating complex, synchronized industrial robot motions. Prior to joining TRI, Alex developed soft huggable humanoid robots and various other creative robotic systems at Disney Research with Joohyung and Katsu!

alexalspach.com
punyo.tech
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