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model-based motion planning

Motion Planning for Highly Automated Road Vehicles with a Hybrid Approach Using Nonlinear Optimization and Artificial Neural Networks

Motion Planning for Highly Automated Road Vehicles with a Hybrid Approach Using Nonlinear Optimization and Artificial Neural Networks

... optimization based trajectory planning method presented in Section 1 introduces a sophisticated vehicle dynamics-focused ...During planning, the optimization planner performs a mapping from the ...

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Least square method based table tennis robot motion planning research

Least square method based table tennis robot motion planning research

... trajectory model to predict, in addition, it also researches on robot stroking table tennis collision model, therefore it fulfills table tennis trajectory planning problems, and the model has ...

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Empirical Study of Motion Planning in Robotic Control Model

Empirical Study of Motion Planning in Robotic Control Model

... Robotic model is first based on the motion planning in which we have to plan his motion to navigate its different direction of the wall while avoiding different obstacles due to ...

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Intelligent Land Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning

Intelligent Land Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning

... algorithm based on deep Q network and extend it to continuous high-dimensional state ...learning model to establish traffic signal ...a motion planning method without ...

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Motion planning for humanoid robot based on arm

Motion planning for humanoid robot based on arm

... Gait planning of humanoid robot is a hotspot at robotic ...pendulum model established on the motion of swing arms is used to analyze the effect about swing and angular velocity of arms to gait ...

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Motion Planning For Micro Aerial Vehicles

Motion Planning For Micro Aerial Vehicles

... to model collision costs in trajectory generation through line integrals [22, 71, 77, 96] in which the safe trajectory is refined from an initial nominal trajectory through gradient ...gradient- based ...

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Physically-based sampling for motion planning

Physically-based sampling for motion planning

... the motion of each agent based on local and global navigation with a general networking ...of motion in a short time interval and augment the local navigation model with a velocity-bias social ...

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Visual Perception based Motion Planning of Mobile Robot using Road Sign

Visual Perception based Motion Planning of Mobile Robot using Road Sign

... Where Z (t ) is a bifurcate parameter, which controls the intensity of the self feedback term  ; ( 0    1 ) is a attenuation parameter, which dependents upon Z (t ) . The system state varies step by step with the ...

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Planning and adaptation of virtual human character motion

Planning and adaptation of virtual human character motion

... Approximating the dynamics of the human body requires a model of the mass parameters of the various body segments (Figure 2.7), including masses, centres of gravity and moments of inertia. There are several ...

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Socially aware motion planning of assistive robots in crowded environments

Socially aware motion planning of assistive robots in crowded environments

... is based on segmenting and tracking objects that move independently in the field of view of a moving RGB-D ...environment. Motion is estimated with respect to a coordinate system related to the static ...

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Efficient Learning and Inference for High-dimensional Lagrangian Systems

Efficient Learning and Inference for High-dimensional Lagrangian Systems

... human motion capture ...holonomic motion planning problems effectively via spectral analysis and iterative dynamic programming, admitting solutions to problems of unprecedented dimension com- pared ...

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Mobile Robot Motion Planning Based On Notion Of Artificial Potential Field (APF)

Mobile Robot Motion Planning Based On Notion Of Artificial Potential Field (APF)

... However, in developing a mobile robot, there are few challenges and problems that need to face by the developers. One of them is to develop suitable mechanical structure based on the task that will be given to it ...

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Robot Motion Planning in Eight Directions

Robot Motion Planning in Eight Directions

... In Fig. 8 an example of disc-shaped robot motion planning in eight directions for a set of eight point obstacles is shown. Now consider a more general case of a scene where, besides point obstacles, ...

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Motion Planning for Manipulation With Heuristic Search

Motion Planning for Manipulation With Heuristic Search

... Adaptive motion primitives (Section ...other planning research to solve similar problems. AM P s are used in planning for the smooth pickup of moving objects [50], in planning with adaptive ...

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Model-based contrastive explanations for explainable planning

Model-based contrastive explanations for explainable planning

... An important type of question that arises in Explainable Plan- ning is a contrastive question, of the form “Why action A instead of action B?”. These kinds of questions can be an- swered with a contrastive explanation ...

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A human motion model based on maps for navigation systems

A human motion model based on maps for navigation systems

... Indoor navigation is an exciting research and develop- ment area that promises new applications for many aspects of our lives. Whereas positioning and navigation outdoor have become ubiquitous and affordable over the ...

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The Safe Navigation of Partial Motion Planning Based on “Cooperation” with Roadside Fixed Sensors in VANET

The Safe Navigation of Partial Motion Planning Based on “Cooperation” with Roadside Fixed Sensors in VANET

... R-C messages are always regarded as prior informa- tion, as RFSs sends warning alarm or motion suggestions based on conditions of front section. Therefore, source address of R-C is RFS’s own ID, messages ...

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The value of intravoxel incoherent motion model-based diffusion-weighted imaging for outcome prediction in resin-based radioembolization of breast cancer liver metastases

The value of intravoxel incoherent motion model-based diffusion-weighted imaging for outcome prediction in resin-based radioembolization of breast cancer liver metastases

... hPFS was performed using the Kaplan–Meier method with a log-rank test for statistical significance (categorical para- meters) or a Cox regression model (continuous variables). Parameters showing a significant ...

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