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Robert W. Platt

51 papers hereh-index 293.9k citations87 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author17
  • last author32

Across the 51 of 51 papers where every author was matched, so the position is known.

fields
  • cs.RO39
  • cs.LG7
  • cs.CV3
  • cond-mat.stat-mech1
  • cs.AI1
same name
  • Robert W. Platt — 2 papers, h 2
  • Robert W. Platt — 1 paper
  • Robert W. Platt — 1 paper, h 4
  • Robert W. Platt — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132023
most citedLearning a visuomotor controller for real world robotic grasping using simulated depth images

100 citations · 399 across the 42 of their papers we have counts for

collaborators
Showing 2023 · cs.ROShow all

4 papers · 2 filters

cs.RO2023

Symmetric Models for Visual Force Policy Learning

Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora +1

While it is generally acknowledged that force feedback is beneficial to robotic control, applications of policy learning to robotic manipulation typically only leverage visual feed…

cs.RO2023

Leveraging Symmetries in Pick and Place

Haojie Huang, Dian Wang, Arsh Tangri +2

Robotic pick and place tasks are symmetric under translations and rotations of both the object to be picked and the desired place pose. For example, if the pick object is rotated o…

cs.RO2023

On Robot Grasp Learning Using Equivariant Models

Xupeng Zhu, Dian Wang, Guanang Su +3

Real-world grasp detection is challenging due to the stochasticity in grasp dynamics and the noise in hardware. Ideally, the system would adapt to the real world by training direct…

cs.RO2023★ 3 cited

One-shot Imitation Learning via Interaction Warping

Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi +7

Imitation learning of robot policies from few demonstrations is crucial in open-ended applications. We propose a new method, Interaction Warping, for learning SE(3) robotic manipul…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.