Interactive Robot
Interactive robots are designed to seamlessly engage with humans, focusing on safe and intuitive physical and verbal interaction. Current research emphasizes improving robot perception and control through techniques like model predictive control, reinforcement learning, and the integration of large language models for natural language understanding and task planning. This field is significant for advancing human-robot collaboration in various sectors, from industrial automation and assistive technologies to education and entertainment, by creating robots that are both safe and capable of adapting to dynamic environments and human needs.
Papers
Alexa Arena: A User-Centric Interactive Platform for Embodied AI
Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zheng, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Cadence Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Yadunandana Rao, Michael Johnston, Reza Ghanadan, Arindam Mandal, Dilek Hakkani Tur, Prem Natarajan
Interactive robots as inclusive tools to increase diversity in higher education
Patrick Holthaus