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On Flexible Trajectory Description for Effective Rigid Body Motion Reproduction and Recognition
Recognizing and reproducing spatiotemporal motions are necessary when analyzing behaviors and movements during human-robot interaction. Rigid body...
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Trajectory
Section III is focused on flight trajectory planning, execution, and monitoring, building on the air navigation fundamentals and air navigation... -
Adaptive Iterative Learning Trajectory Tracking Control for Spraying Manipulator With Arbitrary Initial States and Iteration-varying Reference Trajectory
This paper presents a novel adaptive iterative learning control (AILC) scheme to improve the tracking performance of the manipulator for spraying...
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Research on Human Driving Characterised Trajectory Planning and Trajectory Tracking Control Based on a Test Track
The trajectory planning plays an important role in realizing the autonomous driving process. The trajectory that reflects the driving habits of human...
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Data-based Vehicle Trajectory Prediction Model for Lane-change Maneuver
Several advanced driver assistance systems (ADASs) control a vehicle in the longitudinal direction. However, an ADAS that controls the vehicle in the...
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Optimal trajectory planning combining model-based and data-driven hybrid approaches
Trajectory planning aims at computing an optimal trajectory through the minimization of a cost function. This paper considers four different...
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On Real-time Cooperative Trajectory Planning of Aerial-ground Systems
Cooperative trajectory planning of aerial-ground systems is a fundamental and challenging problem, which aims to leverage the aerial information to...
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Basketball Flight Trajectory Tracking using Video Signal Filtering
During a basketball game, the ball moves are dynamic, and it is very hard for athletes and trainers to track every move of the ball. An accurate...
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Real-Time Tracking of Basketball Trajectory Based on the Associative MCMC Model
In basketball videos, the trajectories of a basketball changes rapidly. Since the visual features changes in a more homogeneous region, the frame...
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Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
As a bridge between planners and actuators, trajectory tracking is a critical and essential part of robot navigation, autonomous driving and some...
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WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction
The task of pedestrian trajectory prediction remains challenging due to variable scenarios, complex social interactions, and uncertainty in...
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Data-efficient model-based reinforcement learning with trajectory discrimination
Deep reinforcement learning has always been used to solve high-dimensional complex sequential decision problems. However, one of the biggest...
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Trajectory Learning and Reproduction for Tracked Robot Based on Bagging-GMM/HSMM
Learning and reproducing the tracked robot’s demonstration trajectory is a promising intelligent path planning solution that can summarize and...
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Simultaneous Optimization of Launch Vehicle Stage and Trajectory Considering Flight-Requirement Constraints
A conceptual design of a launch vehicle encompasses various disciplines, such as structural design, aerodynamics, propulsion systems, flight control,...
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Trajectory Re-planning
The launch vehicle will deviate from its intended trajectory during flight due to flight deviations and malfunctions, and the launch vehicle’s flight... -
Trajectory prediction for fighter aircraft ground collision avoidance based on the model predictive control technique
Controlled flight into terrain accidents pose a significant threat to aviation safety, emphasizing the need for effective automatic ground collision...
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Review of Numerical Algorithms for Aircraft Trajectory Optimization
Flight trajectory optimization is a crucial aspect of aircraft design, and the numerical algorithms for trajectory optimization have always been a... -
Interval Observer-based Robust Trajectory Tracking Control for Quadrotor Unmanned Aerial Vehicle
In this work, a robust trajectory tracking control strategy is developed for the quadrotor unmanned aerial vehicle (QUAV) with unknown external...
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Nonlinear Disturbance Observer Incorporated Model Predictive Strategy for Wheeled Mobile Robot’s Trajectory Tracking Control
In this paper, we discuss a nonlinear disturbance observer-based double closed-loop control system for managing a wheeled mobile robot (WMR) and...
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MDSTF: a multi-dimensional spatio-temporal feature fusion trajectory prediction model for autonomous driving
In the field of autonomous driving, trajectory prediction of traffic agents is an important and challenging problem. Fully capturing the complex...