Yiran Geng

According to our database, Yiran Geng authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Grasp Multiple Objects With One Hand.

Yuyang Li, Bo Liu, Yiran Geng, Puhao Li, Yaodong Yang, Yixin Zhu, Tengyu Liu, Siyuan Huang

IEEE Robotics Autom. Lett., May, 2024

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.

Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Robo-GS: A Physics Consistent Spatial-Temporal Model for Robotic Arm with Hybrid Representation.

Haozhe Lou, Yurong Liu, Yike Pan, Yiran Geng, Jianteng Chen, Wenlong Ma, Chenglong Li, Lin Wang, Hengzhen Feng, Lu Shi, Liyi Luo, Yongliang Shi

CoRR, 2024

UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments.

Yu Li, Xiaojie Zhang, Ruihai Wu, Zilong Zhang, Yiran Geng, Hao Dong, Zhaofeng He

CoRR, 2024

RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation.

Boshi An, Yiran Geng, Kai Chen, Xiaoqi Li, Qi Dou, Hao Dong

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation.

Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, Jiaming Liu, Hao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang

CoRR, 2023

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research.

Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang

CoRR, 2023

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GenDexGrasp: Generalizable Dexterous Grasping.

Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

RLAfford: End-to-End Affordance Learning for Robotic Manipulation.

Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF.

Qiyu Dai, Yan Zhu, Yiran Geng, Ciyu Ruan, Jiazhao Zhang, He Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations.

Haoran Geng, Ziming Li, Yiran Geng, Jiayi Chen, Hao Dong, He Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

End-to-End Affordance Learning for Robotic Manipulation.

Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong

CoRR, 2022

GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning.

Tianhao Wu, Fangwei Zhong, Yiran Geng, Hongchen Wang, Yongjian Zhu, Yizhou Wang, Hao Dong

CoRR, 2022

2021

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.

Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar

Proceedings of the NeurIPS 2022 Competition Track, 2021