Program

The workshop will consist of 8 speaker talks, 1 spotlight session for papers that are awarded oral presentations, 1 poster session for all papers (which doubles as a coffee break), 2 debates (one on the role of humans in data collection, generation, and curation, and another on data collection in simulation vs. real world), and a coffee break. 

Debate 1: Data generation in simulation vs. real world. Where should data collection take place, and what kinds of data should be collected? What are some opportunities and challenges for data collection in simulation and in the real world?

Debate 2: The role of humans in data collection, generation, and curation. Given the advent of powerful generative AI models, to what extent should humans be involved at different parts of the robotics data collection stack, and in what capacity?