Relevant bibliographies by topics / Knowledge related to joint task and motion planning

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Knowledge related to joint task and motion planning'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Knowledge related to joint task and motion planning"

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Jeon, Jeongmin, Hong-ryul Jung, Nabih Pico, Tuan Luong, and Hyungpil Moon. "Task-Motion Planning System for Socially Viable Service Robots Based on Object Manipulation." Biomimetics 9, no. 7 (2024): 436. http://dx.doi.org/10.3390/biomimetics9070436.

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This paper presents a software architecture to implement a task-motion planning system that can improve human-robot interactions by including social behavior when social robots provide services related to object manipulation to users. The proposed system incorporates four main modules: knowledge reasoning, perception, task planning, and motion planning for autonomous service. This system adds constraints to the robot motions based on the recognition of the object affordance from the perception module and environment states from the knowledge reasoning module. Thus, the system performs task pla
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Shi, Ye, Bin Liang, and Xue Qian Wang. "High Accuracy Attitude Regulation of Spacecraft Using Arm Motion." Applied Mechanics and Materials 313-314 (March 2013): 470–74. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.470.

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Various path planning algorithms have been used to deduce optimal manipulator joint trajectories for spacecraft attitude regulation using arm motion. However, few papers have considered the unexpected factors when applying those planned path into actual situations. Even though conventional feedback control would drive the arm dynamics to the desired one, this only appears when time evolves to infinity which means during some time the actual joint paths deviate from the desired ones. However, the spacecraft attitude change is related to the entire process of arm motion. So, even a small deviati
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Chowdhury, Suman K., Ryan M. Byrne, Yu Zhou, Ameet Aiyangar, and Xudong Zhang. "Lumbar Facet Joint Kinematics and Load Effects During Dynamic Lifting." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 976–80. http://dx.doi.org/10.1177/1541931213601726.

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Although extensive efforts have been dedicated to investigating the risk factors of low back pain in the workplace, a clear knowledge of their effects on the facet joint (FJ) mechanics is lacking. In this study, fourteen healthy participants performed dynamic lifting task with varying external load while a dynamic stereo-radiography system captured their lumbar motion continuously. The FJ kinematics in the lumbar spine were ascertained using a volumetric model-based tracking method. The FJ kinematics data from seven participants were processed and analyzed using non-parametric statistical test
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Nakatake, Jun, Hideki Arakawa, Takuya Tajima, Shigeaki Miyazaki, and Etsuo Chosa. "Age- and sex-related differences in upper-body joint and endpoint kinematics during a drinking task in healthy adults." PeerJ 11 (December 19, 2023): e16571. http://dx.doi.org/10.7717/peerj.16571.

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Background The objective kinematic assessments of activities of daily living are desired. However, the limited knowledge regarding age- and sex-related differences prevents the adaptation of these measurements to clinical settings and in-home exercises. Therefore, this study aimed to determine the effects of age and sex on joint and endpoint kinematics during a common activity of daily living, specifically, drinking from a glass. Methods In total, 32 healthy adults (18 males and 14 females) aged 22–77 years performed a drinking task comprising reaching for a glass, bringing it forward and sipp
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Liu, Chuzhao, Junyao Gao, Yuanzhen Bi, Xuanyang Shi, and Dingkui Tian. "A Multitasking-Oriented Robot Arm Motion Planning Scheme Based on Deep Reinforcement Learning and Twin Synchro-Control." Sensors 20, no. 12 (2020): 3515. http://dx.doi.org/10.3390/s20123515.

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Humanoid robots are equipped with humanoid arms to make them more acceptable to the general public. Humanoid robots are a great challenge in robotics. The concept of digital twin technology complies with the guiding ideology of not only Industry 4.0, but also Made in China 2025. This paper proposes a scheme that combines deep reinforcement learning (DRL) with digital twin technology for controlling humanoid robot arms. For rapid and stable motion planning for humanoid robots, multitasking-oriented training using the twin synchro-control (TSC) scheme with DRL is proposed. For switching between
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Presedo, Ana, Erich Rutz, Jason J. Howard, Michael Wade Shrader, and Freeman Miller. "The Etiology of Neuromuscular Hip Dysplasia and Implications for Management: A Narrative Review." Children 11, no. 7 (2024): 844. http://dx.doi.org/10.3390/children11070844.

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This study summarizes the current knowledge of the etiology of hip dysplasia in children with neuromuscular disease and the implications for management. This article is based on a review of development of the hip joint from embryology through childhood growth. This knowledge is then applied to selective case reviews to show how the understanding of these developmental principles can be used to plan specific treatments. The development of the hip joint is controlled by genetic shape determination, but the final adult shape is heavily dependent on the mechanical environment experienced by the hi
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Sweeten, David, David Palandro, and Lindsey Neuwirth. "Recent Advances by the API Remote Sensing Technical Working Group for Oil Spill Preparedness and Response." International Oil Spill Conference Proceedings 2014, no. 1 (2014): 2218–27. http://dx.doi.org/10.7901/2169-3358-2014.1.2218.

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ABSTRACT In 2010, the American Petroleum Institute coordinated the establishment of an Oil Spill Preparedness and Response Joint Industry Task Force (JITF) comprised of experts from industry and government. The JITF was established to examine the efforts implemented during recent oil spill events, assess the current state of the industry's ability to respond to significant spills, and identify potential learnings. A remote sensing technical working group (TWG) was formed under the Oil Sensing and Tracking program to document current remote sensing technology and future research and development
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Lennartz, Rebecca, Arash Khassetarash, Sandro R. Nigg, Bjoern M. Eskofier, and Benno M. Nigg. "Neural network and layer-wise relevance propagation reveal how ice hockey protective equipment restricts players’ motion." PLOS ONE 19, no. 10 (2024): e0312268. http://dx.doi.org/10.1371/journal.pone.0312268.

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Understanding the athlete’s movements and the restrictions incurred by protective equipment is crucial for improving the equipment and subsequently, the athlete’s performance. The task of equipment improvement is especially challenging in sports including advanced manoeuvres such as ice hockey and requires a holistic approach guiding the researcher’s attention toward the right variables. The purposes of this study were (a) to quantify the effects of protective equipment in ice hockey on player’s performance and (b) to identify the restrictions incurred by it. Twenty male hockey players perform
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Travers, Matthew, Julian Whitman, and Howie Choset. "Shape-based coordination in locomotion control." International Journal of Robotics Research 37, no. 10 (2018): 1253–68. http://dx.doi.org/10.1177/0278364918761569.

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Highly articulated systems are capable of executing a variety of behaviors by coordinating their many internal degrees of freedom to help them move more effectively in complex terrains. However, this inherent variety poses significant challenges that have been the subject of a great deal of previous work: What are the most effective or most efficient methods for achieving the intrinsic coordination necessary to produce desired global objectives? This work takes these questions one step further, asking how different levels of coordination, which we quantify in terms of kinematic coupling, affec
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MOHAN, VISHWANATHAN, and PIETRO MORASSO. "TOWARDS REASONING AND COORDINATING ACTION IN THE MENTAL SPACE." International Journal of Neural Systems 17, no. 04 (2007): 329–41. http://dx.doi.org/10.1142/s0129065707001172.

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Unlike a purely reactive system where the motor output is exclusively controlled by the actual sensory input, a cognitive system must be capable of running mental processes which virtually simulate action sequences aimed at achieving a goal. The mental process either attempts to find a feasible course of action compatible with a number of constraints (Internal, Environmental, Task Specific etc) or selects it from a repertoire of previously learned actions, according to the parameters of the task. If neither reasoning process succeeds, a typical backup strategy is to look for a tool that might
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Dissertations / Theses on the topic "Knowledge related to joint task and motion planning"

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Léoty, Florent. "Vers le couplage sémantique de planifications de tâches et de trajectoires pour la validation de tâches complexes sous fortes contraintes spatiales." Electronic Thesis or Diss., Toulouse, INPT, 2023. http://www.theses.fr/2023INPT0135.

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Pour rester compétitifs, les industriels doivent réduire de plus en plus les coûts et les temps de développement de leurs nouveaux produits. Ceux-ci sont aujourd'hui de plus en plus intégrés, plus petits, plus légers et moins gourmands en énergie. Ils sont plus difficiles à concevoir et doivent être assemblés, maintenus et désassemblés sous de très fortes contraintes géométriques. Traditionnellement, en phase de conception, on établit le modèle CAO du produit, puis on fabrique les différentes parties physiques de celui-ci pour s’apercevoir trop souvent ensuite, que tout ou partie des tâches as
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Zhao, Yingshen. "An ontology-based approach towards coupling task and path planning for the simulation of manipulation tasks." Thesis, Toulouse, INPT, 2019. http://www.theses.fr/2019INPT0065.

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Ce travail traite de la simulation et de la validation de tâches de manipulation complexes sous de fortes contraintes géométriques dans des environnements virtuels. Les applications visées sont liées au Framework industriel 4.0 ; à mesure que les produits s’intègrent de plus en plus et que la concurrence économique s'intensifie, les industriels expriment le besoin de valider, dès la conception, non seulement les modèles CAO statiques de leurs produits mais aussi les tâches (ex. : assemblage ou maintenance) liées à leur Product Lifecycle Management (PLM). La communauté scientifique s'est penché
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Conference papers on the topic "Knowledge related to joint task and motion planning"

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Du, Bin, Jing Zhao, and Chunyu Song. "Optimal Base Placement and Motion Planning for Mobile Manipulators." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70600.

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A mobile manipulator typically consists of a mobile platform and a robotic manipulator mounted on the platform. The base placement of the platform has a great influence on whether the manipulator can perform a given task. In view of the issue, a new approach to optimize the base placement for a specified task is proposed in this paper. Firstly, the workspace of a redundant manipulator is investigated. The manipulation capability of the redundant manipulator is maximized based on the manipulability index through the joint self-motion of the redundant manipulator. Then the maximum manipulation c
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Budolak, Daniel, Raghuraj Chauhan, and Pinhas Ben-Tzvi. "Semi-Autonomous Teleoperation, Guidance, and Obstacle Avoidance With Path Adherence." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97529.

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Abstract Decreasing user effort and automating subtasks such as obstacle avoidance and user guidance has shown to increase the effectiveness and utility of teleoperation. Extending the capabilities of teleoperation remains a critical research topic for tasks that need to leverage user knowledge, or for unstructured environments that autonomous solutions are not robust enough to handle. Previous methods have focused individually on joint space tasks, regression or training based user intention recognition and intervention, or application specific solutions. To overcome the limitations of these
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