Fuchun Sun
researcher
Facts
7 properties- Instance of
- human
- Date of birth
- 1964
- Occupation
- researcher, computer scientist
- Employer
- Tsinghua University[4]
- Educated at
- Tsinghua University[5]
🏷️ Also known as
en Fuchun Sun
zh 孙富春
🔖 Identifiers · 15
- ISNI
- 0000000078836095
- ORCID iD
- 0000-0003-3546-6305
- VIAF cluster ID
- 80624624
- Library of Congress authority ID
- no2007128099
- GND ID
- 136245986
- ACM Digital Library author ID
- 81346489765
- Baidu ScholarID
- CN-B175MGQJ
- Canadiana Name Authority ID
- ncf10541626
- DBLP author ID
- 02/2737-1
- DDB person (GND) ID
- 136245986
- Google Scholar author ID
- DbviELoAAAAJ
- IEEE Xplore author ID
- 37085344232
Show all 15 identifiers +3
- IdRef ID
- 127477845
- NL CR AUT ID
- mub2011660267
- National Library of Israel J9U ID
- 987007422631505171
🔗 Connections
Author of 226
3-D Dense Reconstruction of Vision-Based Tactile Sensor With Coded Markers,
3D human gesture capturing and recognition by the IMMU-based data glove,
3D Moth-inspired chemical plume tracking and adaptive step control strategy,
A compact fingertip-shaped visuo-tactile sensor for manipulator adaptive grasping control,
A Compact Visuo-Tactile Robotic Skin for Micron-Level Tactile Perception,
A Comprehensive Survey on Embodied Intelligence: Advancements, Challenges, and Future Perspectives,
A cross-modal tactile sensor design for measuring robotic grasping forces,
Active Object Detection Using Double DQN and Prioritized Experience Replay
+218 more
← Authored by 226
3-D Dense Reconstruction of Vision-Based Tactile Sensor With Coded Markers,
3D human gesture capturing and recognition by the IMMU-based data glove,
3D Moth-inspired chemical plume tracking and adaptive step control strategy,
A compact fingertip-shaped visuo-tactile sensor for manipulator adaptive grasping control,
A Compact Visuo-Tactile Robotic Skin for Micron-Level Tactile Perception,
A Comprehensive Survey on Embodied Intelligence: Advancements, Challenges, and Future Perspectives,
A cross-modal tactile sensor design for measuring robotic grasping forces,
Active Object Detection Using Double DQN and Prioritized Experience Replay
+218 more
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