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researcher

Balakumar Sundaralingam

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.CV1
ORCID 0000-0003-3106-4755
same name
  • Balakumar Sundaralingam — 19 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

most citedDiff-DOPE: Differentiable Deep Object Pose Estimation

5 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023★ 2 cited

cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation

Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman +9

This paper explores the problem of collision-free motion generation for manipulators by formulating it as a global motion optimization problem. We develop a parallel optimization t…

cs.RO2023

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning

Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam +5

High-dimensional motion generation requires numerical precision for smooth, collision-free solutions. Typically, double-precision or single-precision floating-point (FP) formats ar…

cs.CV2023★ 5 cited

Diff-DOPE: Differentiable Deep Object Pose Estimation

Jonathan Tremblay, Bowen Wen, Valts Blukis +3

We introduce Diff-DOPE, a 6-DoF pose refiner that takes as input an image, a 3D textured model of an object, and an initial pose of the object. The method uses differentiable rende…

cs.RO2022★ 2 cited

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions

Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam +3

The pipeline of current robotic pick-and-place methods typically consists of several stages: grasp pose detection, finding inverse kinematic solutions for the detected poses, plann…

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