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researcher

Dieter Fox

9 papers hereh-index 91.2k citations13 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.RO7
  • cs.CV2
same name
  • Dieter Fox — 19 papers, h 12
  • Dieter Fox — 12 papers, h 7
  • Dieter Fox — 11 papers, h 12
  • Dieter Fox — 10 papers, h 7
  • Dieter Fox — 6 papers, h 4
  • Dieter Fox — 4 papers

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
20232026
most citedCosmos World Foundation Model Platform for Physical AI

11 citations · 18 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.RO2024

DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning

Huang Huang, Balakumar Sundaralingam, Arsalan Mousavian +3

Running optimization across many parallel seeds leveraging GPU compute have relaxed the need for a good initialization, but this can fail if the problem is highly non-convex as all…

cs.RO2024★ 1 cited

RVT-2: Learning Precise Manipulation from Few Demonstrations

Ankit Goyal, Valts Blukis, Jie Xu +3

In this work, we study how to build a robotic system that can solve multiple 3D manipulation tasks given language instructions. To be useful in industrial and household domains, su…

cs.RO2024

3D-MVP: 3D Multiview Pretraining for Robotic Manipulation

Shengyi Qian, Kaichun Mo, Valts Blukis +3

Recent works have shown that visual pretraining on egocentric datasets using masked autoencoders (MAE) can improve generalization for downstream robotics tasks. However, these appr…

cs.CV2024★ 2 cited

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects

Yijia Weng, Bowen Wen, Jonathan Tremblay +4

We address the problem of building digital twins of unknown articulated objects from two RGBD scans of the object at different articulation states. We decompose the problem into tw…

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