Scholar
Dandan Zhang
Google Scholar ID: 233I39oAAAAJ
Imperial College London
Robotics
AI
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,257
H-index
22
i10-index
34
Publications
20
Co-authors
0
Contact
Email
d.zhang17@imperial.ac.uk
Twitter
Open ↗
LinkedIn
Open ↗
Publications
34 items
A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation
2026
Cited
0
SoftVTBench: A Safety-Aware Visuo-Tactile Benchmark for Physically Constrained Robotic Manipulation of Deformable Objects
2026
Cited
0
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
2026
Cited
0
TacEvo: Self-Evolving Architecture Discovery for Robotic Tactile Perception via LLM-Driven Quality-Diversity Search
2026
Cited
0
TacVerse: A Multi-Sensor Dataset and Benchmark for Cross-Sensor Vision-Based Tactile Perception
2026
Cited
0
HATS: A Human-Agent Teleoperation System for Multi-Arm Data Collection
2026
Cited
0
Task Editing for Generalizable 3D Visuomotor Policy Learning
2026
Cited
0
A Digital Twin Framework for Virtual Visuo-Haptic Teleoperation of Complex-Shaped Optical Microrobots
2026
Cited
0
Load more
Resume (English only)
Background
Research focuses on multi-scale embodied intelligence, spanning from micro/nano-robots to large-scale robotic systems.
Primary research interests lie at the intersection of robotics and machine learning.
Aims to develop next-generation intelligent robots with super-human capabilities for healthcare, homecare, and hazardous environment assistance.
Works on micro-robotics, teleoperation, and human-robot shared control.
Goals include enabling seamless human-robot shared control and enhancing autonomy in multi-scale robotic systems.
Co-authors
0 total
Co-authors: 0 (list not available)