Interactive Imitation Learning - Planning Alongside Humans

Explore the challenges and advancements in interactive imitation learning for robots working alongside humans in this 57-minute lecture by Sanjiban Choudhury, Research Scientist at Aurora Innovation and incoming Assistant Professor at Cornell University. Delve into the fundamental issues of deploying robots in real-world scenarios, focusing on the need for continuous online learning and adaptation to individual human preferences. Examine how robots can be designed to understand and learn from natural human interactions, going beyond large-scale dataset collection. Gain insights into Choudhury's research on imitation learning, decision making, and human-robot interaction, which has earned multiple awards and recognitions in the field of robotics.