ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.15440
  4. Cited By
On the Design of Region-Avoiding Metrics for Collision-Safe Motion
  Generation on Riemannian Manifolds

On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds

28 July 2023
Holger Klein
Noémie Jaquier
Andre Meixner
Tamim Asfour
ArXivPDFHTML

Papers citing "On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds"

3 / 3 papers shown
Title
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
Ken-Joel Simmoteit
Philipp Schillinger
Leonel Rozo
16
0
0
26 Apr 2025
Riemannian geometry as a unifying theory for robot motion learning and
  control
Riemannian geometry as a unifying theory for robot motion learning and control
Noémie Jaquier
Tamim Asfour
AI4CE
19
5
0
30 Sep 2022
CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot
  Motions with Environment Collision Avoidance
CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidance
D. Rakita
Haochen Shi
Bilge Mutlu
Michael Gleicher
113
31
0
25 Feb 2021
1