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2106.02445
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How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning
4 June 2021
Namiko Saito
T. Ogata
Satoshi Funabashi
Hiroki Mori
S. Sugano
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Papers citing
"How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning"
7 / 7 papers shown
Title
Adaptive Robotic Tool-Tip Control Learning Considering Online Changes in Grasping State
Kento Kawaharazuka
K. Okada
Masayuki Inaba
34
6
0
10 Jul 2024
Self-Supervised Learning of Visual Servoing for Low-Rigidity Robots Considering Temporal Body Changes
Kento Kawaharazuka
Naoaki Kanazawa
K. Okada
Masayuki Inaba
33
4
0
20 May 2024
BSL: Navigation Method Considering Blind Spots Based on ROS Navigation Stack and Blind Spots Layer for Mobile Robot
Masato Kobayashi
Naoki Motoi
28
3
0
09 May 2024
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation
Marina Y. Aoyama
João Moura
Namiko Saito
S. Vijayakumar
24
5
0
08 Sep 2023
Understanding Physical Effects for Effective Tool-use
Zeyu Zhang
Ziyuan Jiao
Weiqi Wang
Yixin Zhu
Song-Chun Zhu
Hangxin Liu
35
12
0
30 Jun 2022
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use
Hyogo Hiruma
Hiroshi Ito
Hiroki Mori
Tetsuya Ogata
28
5
0
29 Jun 2022
GATER: Learning Grasp-Action-Target Embeddings and Relations for Task-Specific Grasping
Mingdong Sun
Yue Gao
33
14
0
27 Nov 2021
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