On this episode, Lilly Clark interviews Jeannette Bohg, Assistant Professor at Stanford, about her work in interactive notion and robotic studying for greedy and manipulation duties. Bohg discusses how robots and people are totally different, the problem of excessive dimensional information, and unsolved issues together with steady studying and decentralized manipulation.
Jeannette Bohg is an Assistant Professor of Pc Science at Stanford College. She was a gaggle chief at MPI till September 2017 and stays affiliated as a visitor researcher. Her analysis focuses on notion for autonomous robotic manipulation and greedy. She is particularly involved in creating strategies which are goal-directed, real-time and multi-modal such that they’ll present significant suggestions for execution and studying.
Earlier than becoming a member of the Autonomous Movement lab in January 2012, Jeannette Bohg was a PhD scholar on the Pc Imaginative and prescient and Lively Notion lab (CVAP) at KTH in Stockholm. Her thesis on Multi-modal scene understanding for Robotic Greedy was carried out beneath the supervision of Prof. Danica Kragic. She studied at Chalmers in Gothenburg and on the Technical College in Dresden the place she acquired her Masters in Artwork and Know-how and her Diploma in Pc Science, respectively.