Zobrazeno 1 - 10
of 371
pro vyhledávání: '"Robot trajectory"'
Publikováno v:
IEEE Access, Vol 12, Pp 92598-92611 (2024)
For the development of autonomous robotic systems, Dynamic Movement Primitives (DMP) and Artificial Potential Fields (APF) are two well known techniques. DMPs are a reference algorithm in robotics for one shot learning as they enable learning complex
Externí odkaz:
https://doaj.org/article/50df5a679828467094435a8f6ea7a91f
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Currently, most robot dances are pre-compiled, the requirement of manual adjustment of relevant parameters and meta-action to change the dancing to another type of music would greatly reduce its function. To overcome the gap, this study proposed a da
Externí odkaz:
https://doaj.org/article/fcfbbf2374d8492dbf5b152041040689
Publikováno v:
IEEE Access, Vol 11, Pp 30292-30307 (2023)
In the fixed prosthesis process dental prosthesis treatment, the dentist needs to conceive the morphology of the tooth preparation and make numerous micro-adjustments by manual operation. This study aims to establish a digital design system for accur
Externí odkaz:
https://doaj.org/article/ac3b3ea3dfd14439b1d9c8529b5188ca
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
As a powerful method for time-varying problems solving, the zeroing neural network (ZNN) is widely applied in many practical applications that can be modeled as time-varying linear matrix equations (TVLME). Generally, existing ZNN models solve these
Externí odkaz:
https://doaj.org/article/e8d4ed242e0b4d5d808fe994deb175cb
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
To solve the theoretical solution of dynamic Sylvester equation (DSE), we use a fast convergence zeroing neural network (ZNN) system to solve the time-varying problem. In this paper, a new activation function (AF) is proposed to ensure fast convergen
Externí odkaz:
https://doaj.org/article/16bc70f74f3c47cd9a036be4fc5192bd
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 12, Pp 42-48, 56 (2022)
The gangue is wrapped by slurry in underground coal mine, which causes difficult coal-gangue recognition and sorting. The underground working space is narrow, so the equipment layout is difficult, and the diversion of coal-gangue is difficult. Theref
Externí odkaz:
https://doaj.org/article/0ba537b691a240a6ad13ae987f74afc8
Akademický článek
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Autor:
Dipanwita Guhathakurta, Fatemeh Rastgar, M. Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
We present a joint multi-robot trajectory optimizer that can compute trajectories for tens of robots in aerial swarms within a small fraction of a second. The computational efficiency of our approach is built on breaking the per-iteration computation
Externí odkaz:
https://doaj.org/article/cef9e3b52a5043bd9c27294834955b82
Publikováno v:
IEEE Access, Vol 9, Pp 106428-106440 (2021)
This paper presents a new method for robot interception planning based on the proportional navigation. Guidance laws are basically developed for aerospace applications where a pursuer impacts a target using these methods, however in the robotic appli
Externí odkaz:
https://doaj.org/article/8c94b63829ea45eab5e753a51c193ba6
Publikováno v:
IEEE Access, Vol 8, Pp 71993-72006 (2020)
Learning from demonstration provides ways to transfer knowledge and skills from humans to robots. Models based solely on learning from demonstration often have very good generalization capabilities but are not completely accurate when adapting to new
Externí odkaz:
https://doaj.org/article/89e82033920241f696c1487764ad1636