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. 2007.06695
  4. Cited By
A Motion Taxonomy for Manipulation Embedding

A Motion Taxonomy for Manipulation Embedding

13 July 2020
D. Paulius
Nicholas Eales
Yu Sun
ArXivPDFHTML

Papers citing "A Motion Taxonomy for Manipulation Embedding"

4 / 4 papers shown
Title
Ground Manipulator Primitive Tasks to Executable Actions using Large
  Language Models
Ground Manipulator Primitive Tasks to Executable Actions using Large Language Models
Yue Cao
C. S. Lee
LM&Ro
19
3
0
13 Aug 2023
Semantic constraints to represent common sense required in household
  actions for multi-modal Learning-from-observation robot
Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
Katsushi Ikeuchi
Naoki Wake
Riku Arakawa
Kazuhiro Sasabuchi
Jun Takamatsu
LM&Ro
17
16
0
03 Mar 2021
Understanding Action Sequences based on Video Captioning for
  Learning-from-Observation
Understanding Action Sequences based on Video Captioning for Learning-from-Observation
Iori Yanokura
Naoki Wake
Kazuhiro Sasabuchi
Katsushi Ikeuchi
Masayuki Inaba
30
4
0
09 Dec 2020
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning
  and Generalization
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization
Yongqiang Huang
Juan Wilches
Yu Sun
SSL
19
22
0
19 Nov 2020
1