🔬 University#191 Beijing, China
Vision and Robotics Lab - Institute for Interdisciplinary Information Sciences
The Vision and Robotics Lab at Tsinghua University's Institute for Interdisciplinary Information Sciences focuses on building universal embodied intelligent agents. Research integrates computer vision and reinforcement learning for robotic perception and autonomous decision-making.
computer visionreinforcement learningembodied AIperceptionlearning
Notable achievements
Research in embodied AI, computer vision, and reinforcement learning for robotics
Notable work
Universal embodied intelligent agents research
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
LEARNING
Open access
Vision-Based Agile Landing on Turbulent Waters
Dimosthenis Angelis, Leonard Bauersfeld, Davide Scaramuzza +1 more
2026
OTHER
Open access
Droneulator: A Portable UAV Simulator for Agricultural Workflows with RotorPy and Godot 4
Jacob Swindell, Michael Lowen, Marija Popovic +1 more
2026
PERCEPTION
Open access
IntentionNav: A Benchmark for Intent-Driven Object Navigation from Implicit Human Instruction
Lin Qian, Shijie Li, Sihao Lin +4 more
2026
MANIPULATION
Open access
Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models
Ruofan Jin, Zaixi Zhang
2026
OTHER
Open access
NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic
Paapa Kwesi Quansah, Ernest Bonnah
2026