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Bio
Her research focuses on perception and learning for autonomous robotic manipulation and grasping. She is specifically interesting in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning. Jeannette Bohg has received several awards, most notably the 2019 IEEE International Conference on Robotics and Automation (ICRA) Best Paper Award, the 2019 IEEE Robotics and Automation Society Early Career Award and the 2017 IEEE Robotics and Automation Letters (RA-L) Best Paper Award.
Research Interests
Papers共 150 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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CoRR (2024)
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IEEE transactions on hapticsno. 99 (2024): 1-12
CoRR (2024)
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Alexander Khazatsky,Karl Pertsch,Suraj Nair,Ashwin Balakrishna,Sudeep Dasari,Siddharth Karamcheti,Soroush Nasiriany,Mohan Kumar Srirama,Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan,Joey Hejna,
CoRR (2024)
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ICRA 2024 (2024)
ICRA 2024 (2024)
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Levine Sergey,Finn Chelsea,Goldberg Ken,Chen Lawrence Yunliang,Sukhatme Gaurav, Dass Shivin,Pinto Lerrel,Zhu Yuke, Zhu Yifeng,Song Shuran,Mees Oier,Pathak Deepak,
ICRA 2024 (2024)
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ICRA 2024 (2024)
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ICRA 2024no. 5 (2024): 4273-4280
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