8:30-8:40

Opening remarks [Video]
Organizers

8:40-9:10

AI-Enabled Robots: Towards Real-World Applications [Video]
Stefan Schaal

9:10-9:40

Let’s All Just Be Friends: Model-Based Control Helps Learning (and Vice Versa) [Video]
Scott Kuindersma

9:40-10:10

Spotlight Talks [Video]
See details below

10:10-10:40

Generalizable Geometric Robot Learning [Video] [Slides]
Xiaolong Wang

10:40-11:10

Coffee Break and Posters
MUSE 1

11:10-11:40

Simulation Benchmarking for Real World Deployment [Video]
Dieter Fox

11:40-12:40

Panel: The Ingredients of Deploying Learning-Based Robotic Systems [Video]
Dieter Fox, Emo Todorov, Nicolas Heess, Russ Tedrake, Scott Kuindersma

12:40-13:30

Lunch Break

13:30-14:00

Simulation based learning for real-world embodied intelligence [Video]
Nicolas Heess

14:00-14:30

Many views of robustness: from robust control to foundation models [Video]
Russ Tedrake

14:30-15:00

General-Purpose Pretrained Models for Robotics [Video]
Sergey Levine

15:00-15:30

Model-based Optimization with MuJoCo Physics [Video]
Emo Todorov

15:30-16:00

Data for Robot Manipulation: From Demonstrations to Autonomy [Audio] [Slides]
Chelsea Finn

16:00-17:00

Debate: Is Scaling Enough to Deploy General Purpose Robots [Video]
Chelsea Finn, Russ Tedrake, Sergey Levine, Xiaolong Wang, Emo Todorov, Scott Kuindersma, Stefan Schaal

17:00-17:30

Social & Coffee

Poster Presentation

Our poster section will be hosted in MUSE 1 (Not the same room as our workshop!!!) from 10:40 to 11:10.

We have no constraints on poster format.

Oral Presentation

Our oral presentation will follow the following order. For all the presenters, please bring your own device, and send your finalized slides to the workshop official email no later than EOD, Nov. 5th.

  1. Human-in-the-Loop Task and Motion Planning for Imitation Learning
  2. State Estimation Transformers for Agile Legged Locomotion
  3. Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior
  4. Deep Evidential Traversability Learning for Risk-Aware Off-Road Navigation
  5. LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
  6. Extreme Parkour with Legged Robots

The first 3 presentations take 5 minutes each, and the last 3 take 3 minutes each.

Honors and Awards

Best Paper Award

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior

Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang

Best Paper Runners-Up

State Estimation Transformers for Agile Legged Locomotion

Chen Yu, Yichu Yang, Tianlin Liu

Human-in-the-Loop Task and Motion Planning for Imitation Learning

Ajay Mandlekar, Caelan Garrett, Danfei Xu, Dieter Fox