Interactive Perception and Robot Learning Lab
Overview
The Interactive Perception and Robot Learning Lab is part of the Stanford AI Lab at the Computer Science Department. We seek to understand the underlying principles of robust sensorimotor coordination by implementing them on robots. Our work is at the intersection of Robotics, Machine Learning and Computer Vision applied to problems in Autonomous Robotic Manipulation.
Follow @StanfordIPRLNews
| July, 2024 |
Three of our papers are accepted to RSS 2024: Consistency Policy, SpringGrasp , and DROID ! And one of our papers, AOGrasp , is accepted to IROS 2024!
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| November, 2023 |
Two of our papers are part of the Special Issue on Large Language Models in Robotics (Autonomous Robots): TidyBot and Text2Motion
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| October, 2023 |
3 papers accepted at IROS 2023! TidyBot, In-Hand Manipulation with Tactile Sensing for Inserting Unknown Objects and Active Task Randomization
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| February 27, 2023 |
2 papers accepted at CVPR 2023! The ObjectFolder Benchmark and CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
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| February 15, 2023 |
Professor Bohg is named a
Sloan Fellow!
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People
Jeannette Bohg
Group leader
Rika Antonova
Postdoc
Tyler Lum
Ph.D. Student
Co-advisor: Karen Liu
Krishnan Srinivasan
Ph.D. Student
Claire Chen
Ph.D. Student
Marion Lepert
Ph.D. Student
Priya Sundaresan
Ph.D. Student
Co-advisor: Dorsa Sadigh
Chris Agia
Ph.D. Student
Co-advisor: Marco Pavone
Jingyun Yang
Ph.D. Student
Jimmy Wu
Visiting Ph.D. Student
Princeton University
Carlota Pares
PhD Student
Aaditya Prasad
Undergrad Student
Brandon Vu
Undergrad Student
Sophie Lueth
Visiting Student
Yixuan Huang
Visiting PhD Student
Udari Madhusudani
Visiting Post Doc
Francis Engelmann
Visiting Post Doc
Zi-ang Cao
Masters Student
Michelle Yi
Masters Student
Jiaying Fang
Masters Student
Bhavna Sud
Masters Student
Olivia Lee
Co-term Student
Former Members
Dan Morton
Kevin Lin (UT Austin)
Edwin Pan
Tara Sadjadpour (Berkeley)
Andrey Kurenkov
Toki Migimatsu (Figure)
Mengxi Li (Citadel)
Millie Salvato
Negin Heravi (Snap)
Nick Heppert (University of Freiburg)
Jacqueline Yau (Apple)
Chaoyi Pan (CMU)
Brent Yi (Berkeley)
Samuel Clarke
Michelle Lee (Medra)
Lin Shao (NUS Singapore)
Shushman Choudhury (Lacuna)
Simon Reisch (CS)
Rachel Gardner (Aurora)
Alina Kloss (NEURA Robotics)
Mengyuan Yan (OpenAI)
Peter Zachares (nPlan)
Hsu-kuang Chiu (Waymo)
Matthew Tan
Allesandro Palleschi
Karen Yang (EE)
Xingyu Liu (EE)
Wenzhen Yuan (CMU)
Fabio Ferreira (University of Freiburg)
Tingguang Li (CUHK, China)
Jane Wu (CS)
Haley Smith (ME)
Rohun Kulkarni (ME)
Varun Nambiar (EE)
Yilin Zhu (CS)
Mia Kokic (KTH, Sweden)
Thomas Baumeister (Apple)
Simon Pierre Marie LeCleach (ME)
Parth Sha (Apple)
Vikranth Reddy Dwaracherla (EE)
Andres Campos Alvarado (ME)
Xinru Hua (CS)
Scott David Hemley (ME)
Seth Evan Charles (ME)
Dipti Vijai Motwani (ME)
Yifan You (Berkeley)
Ben Jun Xiong Wu (CS)
Jonathan Henry Zwiebel (CS)
Ian Ng (CS)
Contact
Contact for Prospective Lab Members
We may take on new PhD students each year. If you are a prospective PhD student, we ask that you do not contact us directly with regard to PhD admissions until after you are admitted, as we will not be able to reply to emails from individual applicants.
If you are a Stanford undergraduate, masters, or co-term interested in research opportunities, please complete this form: Link
If you are interested in a post-doc position, please read this form : Link
If you are not a Stanford student and interested in visiting researcher positions, please read this from: Link
General Contact Information
Address: 353 Jane Stanford Way, Stanford, CA 94305
Phone: (650) 725-4314
Office hours: Wednesday 3pm - 4pm (Zoom link available upon request)
Admin: