| 2025 | Robot Local Planner: A Periodic Sampling-Based Motion Planner with Minimal Waypoints for Home Environments. | Keisuke Takeshita, Takahiro Yamazaki, Tomohiro Ono, Takashi Yamamoto |
| 2025 | Design and Evaluation of High-Performance Motion-Decoupled Cable Transmission Modules. | Ryo Takei, Samuel Frishman, John P. Whitney |
| 2025 | Non-Parametric GNSS Integer Ambiguity Estimation via Positional Likelihood Field Marginalization. | Aoki Takanose, Kenji Koide, Shuji Oishi, Masashi Yokozuka |
| 2025 | Feasibility-Aware Imitation Learning from Observations Through a Hand-Mounted Demonstration Interface. | Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara |
| 2025 | SCU-Hand: Soft Conical Universal Robotic Hand for Scooping Granular Media from Containers of Various Sizes. | Tomoya Takahashi, Cristian C. Beltran-Hernandez, Yuki Kuroda, Kazutoshi Tanaka, Masashi Hamaya, Yoshitaka Ushiku |
| 2025 | Impedance Primitive-Augmented Hierarchical Reinforcement Learning for Sequential Tasks. | Amin Berjaoui Tahmaz, Ravi Prakash, Jens Kober |
| 2025 | Exploring Adversarial Obstacle Attacks in Search-Based Path Planning for Autonomous Mobile Robots. | Adrian Szvoren, Jianwei Liu, Dimitrios Kanoulas, Nilufer Tuptuk |
| 2025 | Interpretable Active Inference Gait Control Learning. | Rudolf J. Szadkowski, Jan Faigl |
| 2025 | Design of a Novel Pneumatic Soft Gripper for Robust Adaptive Grasping. | Xiantao Sun, Mingsheng Zhong, Zhouzheng Tang, Wenjie Chen, Weihai Chen |
| 2025 | Towards Robust Autonomous Driving: Conditional Multimodal Large Language Models for Fine-Grained Perception. | Fengzhao Sun, Jun Yu, Yunxiang Zhang, Jiaming Hou, Xilong Lu, Heng Song, Fang Gao |
| 2025 | ROD: RGB-Only Fast and Efficient Off-Road Freespace Detection. | Tong Sun, Hongliang Ye, Jilin Mei, Liang Chen, Fangzhou Zhao, Leiqiang Zong, Yu Hu |
| 2025 | Suite-IN: Aggregating Motion Features from Apple Suite for Robust Inertial Navigation. | Lan Sun, Songpengcheng Xia, Junyuan Deng, Jiarui Yang, Zengyuan Lai, Qi Wu, Ling Pei |
| 2025 | Generalizing Motion Planners with Mixture of Experts for Autonomous Driving. | Qiao Sun, Huimin Wang, Jiahao Zhan, Fan Nie, Xin Wen, Leimeng Xu, Kun Zhan, Peng Jia, Xianpeng Lang, Hang Zhao |
| 2025 | Inverse Mixed Strategy Games with Generative Trajectory Models. | Muchen Sun, Pete Trautman, Todd D. Murphey |
| 2025 | Dynamic Compact Consensus Tracking for Aerial Robots. | Xiaolou Sun, Zhibin Quan, Feng Zhang, Yuntian Li, Chunyan Wang, Wufei Si, Wenhui Ni, Runwei Guan, Yuan Wu, Meng Shen, Yongming Huang |
| 2025 | SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation. | Wenchao Sun, Xuewu Lin, Yining Shi, Chuang Zhang, Haoran Wu, Sifa Zheng |
| 2025 | RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios Even if You Only Look Once. | Jiawei Sun, Jiahui Li, Tingchen Liu, Chengran Yuan, Shuo Sun, Zefan Huang, Anthony Wong, Keng Peng Tee, Marcelo H. Ang |
| 2025 | UDSV: Unsupervised Deep Stitching for Tractor-Trailer Surround View. | Leyao Sun, Hao Liang, Zhipeng Dong, Yi Yang, Mengyin Fu |
| 2025 | Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs. | Chuanneng Sun, Songjun Huang, Haiqiao Liu, Jie Gong, Dario Pompili |
| 2025 | S | Yefeng Sun, Liang Gong, Jialing Dai, Bishu Gao, Jinghan Cai, Gengjie Lin, Fabien Moutarde, Junguo Lu, Chengliang Liu |
| 2025 | Hardware-Accelerated Ray Tracing for Discrete and Continuous Collision Detection on GPUs. | Sizhe Sui, Luis Sentis, Andrew Bylard |
| 2025 | Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods. | Richie R. Suganda, Tony Tran, Miao Pan, Lei Fan, Qin Lin, Bin Hu |
| 2025 | Model-Free Safety Filter for Soft Robots: A Q-Learning Approach. | Guo Ning Sue, Yogita Choudhary, Richard Desatnik, Carmel Majidi, John M. Dolan, Guanya Shi |
| 2025 | Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation. | Jonathan Styrud, Matteo Iovino, Mikael Norrlf, Mrten Bjrkman, Christian Smith |
| 2025 | Uncertainty-Aware Deep Reinforcement Learning with Calibrated Quantile Regression and Evidential Learning. | Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Mohit Mittal, Amit Ranjan Trivedi |