Interactive Perception and Robot Learning Lab


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.

Contact information for Prospective Lab Members


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!
November, 2023 Two of our papers are part of the Special Issue on Large Language Models in Robotics (Autonomous Robots): TidyBot and Text2Motion
October, 2023 3 papers accepted at IROS 2023! TidyBot, In-Hand Manipulation with Tactile Sensing for Inserting Unknown Objects and Active Task Randomization
February 27, 2023 2 papers accepted at CVPR 2023! The ObjectFolder Benchmark and CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
February 15, 2023 Professor Bohg is named a Sloan Fellow!


Jeannette Bohg

Group leader


Rika Antonova


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

Master's Student

Dan Morton

Master's Student

Kevin Lin

Master's Student

Aaditya Prasad

Undergrad Student

Brandon Vu

Undergrad Student

Sophie Lueth

Visiting Student

Yixuan Huang

Visiting PhD Student

Udari Madhusudani

Visiting Post Doc

Zi-ang Cao

Masters Student

Michelle Yi

Masters Student

Former Members

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 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)