Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Zhang, Feitian"'
Autor:
Cheng, Hao, Zhang, Feitian
Robotic blimps, as lighter-than-air aerial systems, offer prolonged duration and enhanced safety in human-robot interactions due to their buoyant lift. However, robust flight against environmental airflow disturbances remains a significant challenge,
Externí odkaz:
http://arxiv.org/abs/2406.10810
Autor:
Tao, Jiyue, Zhang, Yunsong, Rajendran, Sunil Kumar, Zhang, Feitian, Zhao, Dexin, Shen, Tongsheng
Robotic systems driven by artificial muscles present unique challenges due to the nonlinear dynamics of actuators and the complex designs of mechanical structures. Traditional model-based controllers often struggle to achieve desired control performa
Externí odkaz:
http://arxiv.org/abs/2405.10576
Underwater robots play a crucial role in exploring aquatic environments. The ability to flexibly adjust their attitudes is essential for underwater robots to effectively accomplish tasks in confined space. However, the highly coupled six degrees of f
Externí odkaz:
http://arxiv.org/abs/2405.00269
Miniature robotic blimps, as one type of lighter-than-air aerial vehicles, have attracted increasing attention in the science and engineering community for their enhanced safety, extended endurance, and quieter operation compared to quadrotors. Accur
Externí odkaz:
http://arxiv.org/abs/2404.18580
Autor:
Lian, Shiwei, Zhang, Feitian
Publikováno v:
IEEE Robotics and Automation Letters,2024
The generalization of the end-to-end deep reinforcement learning (DRL) for object-goal visual navigation is a long-standing challenge since object classes and placements vary in new test environments. Learning domain-independent visual representation
Externí odkaz:
http://arxiv.org/abs/2404.08353
Publikováno v:
IEEE/ASME Transactions on Mechatronics, 2024
Underwater target localization uses real-time sensory measurements to estimate the position of underwater objects of interest, providing critical feedback information for underwater robots. While acoustic sensing is the most acknowledged method in un
Externí odkaz:
http://arxiv.org/abs/2401.04595
An artificial lateral line (ALL) is a bioinspired flow sensing system of an underwater robot that consists of distributed flow sensors. The ALL has achieved great success in sensing the motion states of bioinspired underwater robots, e.g., robotic fi
Externí odkaz:
http://arxiv.org/abs/2401.03141
The task of vision-and-language navigation in continuous environments (VLN-CE) aims at training an autonomous agent to perform low-level actions to navigate through 3D continuous surroundings using visual observations and language instructions. The s
Externí odkaz:
http://arxiv.org/abs/2311.02817
Autor:
Lian, Shiwei, Zhang, Feitian
Publikováno v:
IEEE/ASME Transactions on Mechatronics, 2024
While deep reinforcement learning (DRL) has attracted a rapidly growing interest in solving the problem of navigation without global maps, DRL typically leads to a mediocre navigation performance in practice due to the gap between the training scene
Externí odkaz:
http://arxiv.org/abs/2306.04910
Publikováno v:
IEEE Robotics and Automation Letters, vol. 8, no. 11, pp. 7273-7280, Nov. 2023
A miniature robotic blimp, as one type of lighter-than-air aerial vehicle, has attracted increasing attention in the science and engineering field for its long flight duration and safe aerial locomotion. While a variety of miniature robotic blimps ha
Externí odkaz:
http://arxiv.org/abs/2306.04079