Workshop on Continual Robot Learning from Humans

About
Humans excel at adapting to ever-changing environments, learning from one another, and continuously refining their knowledge and skills over time. The ability to learn continually from human interactions—either through direct demonstrations, communications, proactive feedback, collaboration, or shared norms and values—has been fundamental to human progress. As robots become more integrated into our daily lives, incorporating this adaptive learning in robotics has the potential to revolutionize how they function in dynamic environments, and more importantly, in human society.

How can we develop robots that continually learn and evolve through human interaction? To address this question, the Workshop on Continual Robot Learning from Humans aims at bridging the gap between human adaptive learning and robotic capabilities. The workshop will explore a range of topics, including human-in-the-loop learning, long-term human-robot partnerships, learning societal norms and values, and fostering robot social intelligence. We invite contributions that introduce new theoretical frameworks, present experimental findings, or showcase applications that advance the field of continual learning from humans. Our goal is to tackle emerging challenges and present innovative frameworks that enable robots to learn, adapt, and thrive through ongoing human engagement—fostering an interdisciplinary dialogue that pushes the boundaries of robot learning.

Speakers and Panelists

Chelsea Finn

Stanford University / Physical Intelligence

Yonatan Bisk

Carnegie Mellon University

Jan Peters

TU Darmstadt

Lerrel Pinto

New York University / Fauna Robotics

Yilun Du

Harvard University

Kerstin Dautenhahn

University of Waterloo

Homanga Bharadhwajo

Carnegie Mellon University

Schedule

Time (PST)
8:50 am - 9:00 am	Organizers Introductory Remarks
9:00 am - 9:30 pm	Chelsea Finn Robot Learning from Human Feedback Abstract To be determined.
9:30 am - 10:00 am	Yonatan Bisk Robot Assistance and Language Guided Robot Learning Abstract To be determined.
10:00 am - 10:30 am	Coffee break
10:30 am - 11:00 am	Jan Peters Learning from Human Demonstrations Abstract To be determined.
11:00 am - 11:40 am	Spotlight Talks Paper #1 Paper #2 Paper #3 Paper #4
11:40 am - 12:10 pm	In-person and virtual poster session
12:10 am - 1:30 pm	Lunch
1:30 pm - 2:00 pm	Lerrel Pinto Scaling Interaction and Continual Adaptation in the Real World Abstract To be determined.
2:00 pm - 2:30 pm	Yilun Du Compositional Generative Models for Robot Concept Learning Abstract To be determined.
2:30 pm - 3:00 pm	Kerstin Dautenhahn Social Robots and Social Norms Abstract To be determined.
3:00 pm - 3:30 pm	Homanga Bharadhwaj Learning from Human Videos and Robot Adaptation Guided by Video Generation Abstract To be determined.
3:30 pm - 4:00 pm	Coffee break
4:00 pm - 4:50 pm	Panelists Panel discussion
4:50 pm - 5:00 pm	Organizers Concluding Remarks