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Cognition, ISSN 0010-0277, 2009, Volume 113, Issue 3, pp. 329 - 349
Humans are adept at inferring the mental states underlying other agents’ actions, such as goals, beliefs, desires, emotions and other thoughts. We propose a... 
Bayesian models | Theory of mind | Action understanding | Goal inference | Inverse reinforcement learning | DECISION-THEORY | OBJECT | PSYCHOLOGY, EXPERIMENTAL | INTENTIONS | DIRECTED ACTION | PERCEPTION | ANIMACY | MOTION | INFANTS | RATIONAL ACTION | Computation | Beliefs | Objectives | Action Research | Models | Inferences | Achievement | Planning | Cognitive Development | Experiments
Journal Article
Medical Physics, ISSN 0094-2405, 07/2018, Volume 45, Issue 7, pp. 2875 - 2883
PurposeThe purpose of this study was to automatically generate radiation therapy plans for oropharynx patients by combining knowledge-based planning (KBP)... 
treatment planning | IMRT | inverse optimization | machine learning | knowledge‐based planning | knowledge-based planning | PLANS | HEAD | QUALITY | THERAPY | INTENSITY-MODULATED RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | PREDICTION | Index Medicus
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 2/2011, Volume 30, Issue 2, pp. 236 - 258
We present a control architecture for fast quadruped locomotion over rough terrain. We approach the problem by decomposing it into many sub-systems, in which... 
Quadruped locomotion | template learning | locomotion planning and control | floating base inverse dynamics | ZMP optimization | ROBOT | ROBOTICS | SYSTEMS | HEXAPOD | ROUGH TERRAIN | Motion | Research | Dynamics | Analysis | Robots | Controllers | Performance evaluation | Motion control | Artificial intelligence | Optimization | Learning | Locomotion | Obstacles | Rough terrain | Terrain | Control systems
Journal Article
IEEE Transactions on Reliability, ISSN 0018-9529, 09/2014, Volume 63, Issue 3, pp. 750 - 763
Journal Article
Advanced Robotics, ISSN 0169-1864, 06/2012, Volume 26, Issue 10, pp. 1099 - 1126
We aim at planning multi-contact sequences of stances and postures for humanoid robots. The output sequence defines the contact transitions that allow our... 
dexterous manipulation | inverse kinematics | legged locomotion | humanoid robot | planning algorithm | ROBOTICS | FILTER | SPACES | ALGORITHM | IMPLEMENTATION | OBJECTS | Robotics | Computer Science
Journal Article
Mechanism and Machine Theory, ISSN 0094-114X, 10/2019, Volume 140, pp. 553 - 566
Geometric uncertainties may jeopardize the performance of parallel manipulators, especially during motion planning. Recent research demonstrated that, during... 
Monte Carlo Simulation | Probability of failure | Metamodeling | Artificial neural networks | Genetic operators | SINGULARITIES | PERFORMANCE | INVERSE DYNAMICS | FAULT-TOLERANCE | ENGINEERING, MECHANICAL | Monte Carlo method | Algorithms | Neural networks | Robots | Robotics | Computer Science
Journal Article
Radiation Oncology, ISSN 1748-717X, 03/2018, Volume 13, Issue 1, pp. 46 - 46
Background: The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for... 
Knowledge-based planning | Quality assurance for planning | Inverse planning | Prostate cancer | RapidPlan | HEAD | IMRT | ONCOLOGY | TOXICITY | 3-DIMENSIONAL CONFORMAL RADIOTHERAPY | QUALITY-ASSURANCE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Care and treatment | Usage | Research | Radiotherapy | Methods | Index Medicus
Journal Article
Mechanism and Machine Theory, ISSN 0094-114X, 06/2016, Volume 100, pp. 313 - 337
Cable-Driven Parallel Robots (CDPRs) are a class of parallel robots whose legs consist of cables. In most previous studies, the positions of the cable... 
Reconfiguration strategy | Cable-Driven Parallel Robot | Graph based optimization | Reconfigurability | INVERSE KINEMATICS | STIFFNESS | ENGINEERING, MECHANICAL | Case studies | Robotics industry | Analysis | Robots | Frames | Platforms | Strategy | Graphs | Feasibility | Reconfiguration | Cables | Electronics | Engineering Sciences
Journal Article
by Li, TJ and Zhang, Y and Zhou, JX
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, ISSN 1526-1492, 2019, Volume 118, Issue 3, pp. 583 - 598
In order to satisfy the high efficiency and high precision of collaborative robots, this work presents a novel trajectory planning method. First, in Cartesian... 
high precision | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ENGINEERING, MULTIDISCIPLINARY | velocity look-ahead control | trajectory planning | quintic B-spline | Collaborative robot | high efficiency | MANIPULATORS | Algorithms | Trajectory planning | Collaboration | Inverse kinematics | Control algorithms | Polynomials | Control theory | Smoothness | Robots
Journal Article
IEEE Transactions on Robotics, ISSN 1552-3098, 12/2005, Volume 21, Issue 6, pp. 1077 - 1091
Journal Article
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 9/2018, Volume 37, Issue 10, pp. 1205 - 1232
Coordination is essential in the design of dynamic control strategies for multi-arm robotic systems. Given the complexity of the task and dexterity of the... 
dynamical systems | Multi-arm motion planning | self-collision avoidance | coordination | SYNCHRONIZATION | DYNAMICAL-SYSTEM APPROACH | ROBOTICS | CONTROLLERS | NEURAL-NETWORK | OPTIMIZATION | GRASP | ONLINE | Object motion | Inverse kinematics | Synchronism | Robot dynamics | Collision dynamics | Dynamic control | Motion planning | Robot arms | Coding | Kinematics | Behavior | Collision avoidance | Robots
Journal Article
Autonomous Robots, ISSN 0929-5593, 2018, Volume 43, Issue 6, pp. 1575 - 1590
Journal Article
Neuropsychologia, ISSN 0028-3932, 2005, Volume 43, Issue 6, pp. 917 - 929
Motor imagery (MI) has been associated with planning stages of motor production, and in particular, with internal models that predict the sensory consequences... 
Motor prediction | Action | Inverse model | Imitation | Gesture | Grasping | Forward model | Motor imagery | Praxis | Motor control | Motor learning | Pantomime | grasping | inverse model | </