清华大学交叉信息研究院视觉与机器人实验室
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.
代表性成果
Research in embodied AI, computer vision, and reinforcement learning for robotics
标志性项目
近期研究
全部论文 →按本机构专长领域匹配(关键词重叠 + 直接署名)
PAEAR:基于强化学习的点云区域探索与主动识别方法用于机器人焊接
Yong Tao, Donghua Tan, Fan Ren 等 9 位作者
Robotics and Computer-Integrated Manufacturing · 2026
集成计算机视觉与卡尔曼滤波的视觉障碍辅助系统:预测手-物交互
Amirmohammad Barsalani, Arman Mardani, Hamidreza Daniali
Robotics and Autonomous Systems · 2026
基于因果强化学习的薄壁零件变形控制多道次切削参数优化
Fengyi Lu, Guanghui Zhou, Chao Zhang 等 5 位作者
Robotics and Computer-Integrated Manufacturing · 2026
MA2MB:基于多智能体互建议模型的强化学习在追逃博弈中的应用
Baolin Zhao, Qi Guo, Xiandong Wang 等 5 位作者
Robotics and Autonomous Systems · 2026
基于强化学习的集装箱卸货:拣选顺序、死锁避免及概念验证仿真
Jan Rüdiger, Max Schenke, Daniel Weber
2026
学习平衡电机热安全与四足运动性能的残差策略
Yuhang Wan, Weixian Lin, Letian Qian 等 8 位作者
2026