Robert Platt

Perception, planning, and control for robotic manipulation

PhD in Computer Science, University of Massachusetts Amherst

Robert Platt is an associate professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is also affiliated with the College of Engineering.

Platt's work primarily focuses on perception, planning, and control for robotic manipulation, with the goal of enabling robots to perform manipulation tasks in the context of real-world perceptual uncertainties. This area of study is essential to performing robotic assembly or repair tasks, or simply grasping and lifting objects in everyday environments. Platt expects robust robotic manipulation will have a range of future applications in the home, health care, manufacturing, hazardous environments, and the military.

Before joining Northeastern, Platt was a research scientist at the Massachusetts Institute of Technology and a robotics engineer at NASA.

Published: November 16th, 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry

Citation: Dian Wang , Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt. (2023). The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry ICLR. https://openreview.net/pdf?id=P4MUGRM4Acu
Published: February 27th, 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

Citation: David Klee, Ondrej Biza, Robert Platt, Robin Walters. (2023). Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction ICLR. https://openreview.net/pdf?id=_2bDpAtr7PI
Published: February 27th, 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

Citation: David Klee, Ondrej Biza, Robert Platt, Robin Walters. (2023). Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction ICLR. https://openreview.net/pdf?id=_2bDpAtr7PI