Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Mantian Li"'
Publikováno v:
Actuators, Vol 13, Iss 6, p 212 (2024)
Active power-assist lower limb exoskeleton robots aim to enhance wearer assistance while ensuring wearer comfort and simplifying the exoskeleton’s design and control. This study proposes an active assistance method known as Equivalent Force on Conn
Externí odkaz:
https://doaj.org/article/abcc2cb868a541be85b56ec59afe9213
Publikováno v:
IEEE Access, Vol 10, Pp 42386-42395 (2022)
This paper proposes a method to realize the robot’s self-learning of environment by using an episode cognition model inspired by the hippocampus. The episode cognition map is suitable for robot navigation in an unknown environment, which solves the
Externí odkaz:
https://doaj.org/article/1d361dec62994608b3e3b70dccebd921
Publikováno v:
IEEE Access, Vol 8, Pp 162290-162301 (2020)
The traditional Cubature Kalman Filter (CKF) and its derived algorithms cannot work without the two hypotheses of Kalman Filter (KF), one is that the system model is accurate and the other is the system is only influenced by independent white noise w
Externí odkaz:
https://doaj.org/article/df730e9a5b7c41c2936a541df00a2973
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2022)
The hippocampus and its accessory are the main areas for spatial cognition. It can integrate paths and form environmental cognition based on motion information and then realize positioning and navigation. Learning from the hippocampus mechanism is a
Externí odkaz:
https://doaj.org/article/56cd4c1a75964529a2de0c53cbb8694a
Autor:
Yizhou Liu, Fusheng Zha, Mantian Li, Wei Guo, Yunxin Jia, Pengfei Wang, Yajing Zang, Lining Sun
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Many algorithms in probabilistic sampling-based motion planning have been proposed to create a path for a robot in an environment with obstacles. Due to the randomness of sampling, they can efficiently compute the collision-free paths made of segment
Externí odkaz:
https://doaj.org/article/967e7e1c98784eb0a64956c7b066859c
Publikováno v:
IEEE Access, Vol 7, Pp 172584-172596 (2019)
Robots manipulating in domestic environments generally need to interact with articulated objects, such as doors, drawers, laptops and swivel chairs. The rigid bodies that make up these objects are connected by a revolute pair or a prismatic pair. Rob
Externí odkaz:
https://doaj.org/article/dc0df8d053f24d1f8a9096a2ebd1495f
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
This article presents a mechanical design structure for hydraulic actuators using the principle of series-elastic actuator, considering the restriction of mechanical structure, weight and size, as well as the requirement of high joint torques due to
Externí odkaz:
https://doaj.org/article/dc36857eb5a54abe9dd45c239ea065f4
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
Leg stiffness plays a critical role in legged robots’ speed regulation. However, the analytic solutions to the differential equations of the stance phase do not exist, of course not for the exact analytical solution of stiffness. In view of the cha
Externí odkaz:
https://doaj.org/article/097ae7de29ab4283be99a307e47e158c
Publikováno v:
Machines, Vol 10, Iss 3, p 170 (2022)
Model-based force control for motion and force tracking faces significant challenges on real quadruped platforms due to the apparent model inaccuracies. In this paper, we present a multi-objective optimal torque control for hydraulic quadruped robots
Externí odkaz:
https://doaj.org/article/6d9fc8f6fc9e4ddf8625cde5ac867e67
Autor:
Yu Fu, Mantian Li, Xinyi Zhang, Sen Zhang, Chunyu Wei, Wei Guo, Hegao Cai, Lining Sun, Pengfei Wang, Fusheng Zha
Publikováno v:
Sensors, Vol 20, Iss 24, p 7181 (2020)
The spatial topological relations are the foundation of robot operation planning under unstructured and cluttered scenes. Defining complex relations and dealing with incomplete point clouds from the surface of objects are the most difficult challenge
Externí odkaz:
https://doaj.org/article/e8f3c22b876b40129d94f10efb2c128d