Results 171 to 180 of about 18,090,481 (292)

Sensitivity of Iterative Learning Control to Varying Initial Conditions for Gait Assistance. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc
Golabek JE, Audu ML, Triolo RJ, Makowski NS.   +3 more
europepmc   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Multivariable Iterative Learning Control Design for Precision Control of Flexible Feed Drives. [PDF]

Sensors (Basel)
Wang Y, Hsiao T.
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Iterative Learning Control for Motion Trajectory Tracking of a Circular Soft Crawling Robot. [PDF]

Front Robot AI, 2019
Chi H, Li X, Liang W, Cao J, Ren Q.
europepmc   +1 more source

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

Advanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou, Baichuan Lou, Wenhui Huang, Binbin Hu, Haohan Yang, Haochen Liu, Xiangkun He, Chee Kiong Ong, Yiran Zhang, Tianchu Su, Bolin Zhao, Xiaoyu Mo, Holden King Ho Li, Chen Lv   +13 more
wiley   +1 more source

Adaptive fuzzy iterative learning control based neurostimulation system and in-silico evaluation. [PDF]

Cogn Neurodyn
Li T, Wang J, Liu C, Li S, Wang K, Chang S.   +5 more
europepmc   +1 more source

Novel Fuzzy PID-Type Iterative Learning Control for Quadrotor UAV. [PDF]

Sensors (Basel), 2018
Dong J, He B.
europepmc   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

Advanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

Robust model-free adaptive iterative learning control for an autonomous bus trajectory tracking system. [PDF]

Sci Prog
Liu S, Huang W, Ji H, Wang L.
europepmc   +1 more source