Team Members

David Held is an assistant professor at Carnegie Mellon University in the Robotics Institute and is the director of the RPAD lab: Robots Perceiving And Doing. His research focuses on perceptual robot learning, i.e. developing new methods at the intersection of robot perception and planning for robots to learn to interact with novel, perceptually challenging, and deformable objects. David has applied these ideas to robot manipulation and autonomous driving. Prior to coming to CMU, David was a post-doctoral researcher at U.C. Berkeley, and he completed his Ph.D. in Computer Science at Stanford University. David also has a B.S. and M.S. in Mechanical Engineering at MIT. David is a recipient of the Google Faculty Research Award in 2017 and the NSF CAREER Award in 2021.

Ben Eisner is a Machine Learning and Robotics researcher. He builds robotic systems that learn to interact with the unstructured world.

He is currently a 3rd-Year Ph.D. student in the Robotics Institute at Carnegie Mellon University. He is a member of the Robots Perceiving and Doing Lab, led by Prof. David Held. Right now, Ben is working on some techniques for policy transfer. His research is supported in part by the NSF Graduate Research Fellowship.

Here is a recent version of his academic cv, his Google Scholar profile, and his Github profile.

Tianwen Fu is a masters student in Computer Vision at Carnegie Mellon University. He received my bachelor degree in science at the Chinese University of Hong Kong, where he worked with Prof. Chi-wing Fu in graphics. From 2020 to 2021, he worked as a research intern at SenseTime. He was supervised by Prof. Jifeng Dai on AutoML on vision tasks.

Achleshwar Luthra is a grad student at the Robotics Institute, Carnegie Mellon University enrolled in MSCV. Achleshwar completed my undergrad at BITS Pilani majoring in Electrical and Electronics Engineering. Previously, he was an Undergraduate Research Intern at Computer Vision and Robotics Lab, UIUC under Prof. Narendra Ahuja, where he worked on 3D reconstruction of quadruped animals. Earlier he had the privilege to work in Prof. Jitendra Malik‘s group at UC Berkeley on Single-View 3D Reconstruction of inanimate objects.

During his undergrad, Achleshwar worked with Prof. Kamlesh Tiwari at AI Lab @ BITS Pilani in the domain of Activity Recognition in Videos and with Prof. Pratik Narang on using lightweight deep models for image restoration.