scholarly journals Ball Trajectory Estimation and Robot Control to Reach the Ball Using Single Camera

2020 ◽  
Vol 14 (3) ◽  
pp. 75-87
Author(s):  
Behzad Nobahar ◽  
Maryam Shoaran ◽  
Ghader Karimian Khosroshahi ◽  
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◽  
...  
Keyword(s):  
Robot Control ◽  
Single Camera ◽  
Trajectory Estimation ◽  
Ball Trajectory

Real-Time 3D Ball Trajectory Estimation for RoboCup Middle Size League Using a Single Camera

2012 ◽  
pp. 586-597 ◽  
Author(s):  
Hugo Silva ◽  
André Dias ◽  
José Almeida ◽  
Alfredo Martins ◽  
Eduardo Silva
Keyword(s):  
Real Time ◽  
Single Camera ◽  
Trajectory Estimation ◽  
Ball Trajectory

scholarly journals Robot Anticipation Learning System for Ball Catching

Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 113
Author(s):  
Diogo Carneiro ◽  
Filipe Silva ◽  
Petia Georgieva
Keyword(s):  
Robot Control ◽  
Flight Time ◽  
Human Robot Interaction ◽  
Learning System ◽  
Robot Interaction ◽  
Trajectory Estimation ◽  
Hand Motion ◽  
Ball Flight ◽  
Ball Motion ◽  
Baseline Approach

Catching flying objects is a challenging task in human–robot interaction. Traditional techniques predict the intersection position and time using the information obtained during the free-flying ball motion. A common pain point in these systems is the short ball flight time and uncertainties in the ball’s trajectory estimation. In this paper, we present the Robot Anticipation Learning System (RALS) that accounts for the information obtained from observation of the thrower’s hand motion before the ball is released. RALS takes extra time for the robot to start moving in the direction of the target before the opponent finishes throwing. To the best of our knowledge, this is the first robot control system for ball-catching with anticipation skills. Our results show that the information fused from both throwing and flying motions improves the ball-catching rate by up to 20% compared to the baseline approach, with the predictions relying only on the information acquired during the flight phase.

Robot Control—Theory and Applications

IEE Review ◽  
1988 ◽  
Vol 34 (7) ◽  
pp. 280
Author(s):  
A.G. Blay
Keyword(s):  
Control Theory ◽  
Robot Control

Muybridge / Technology

2010 ◽  
Vol 1 (1) ◽  
pp. 51-62
Author(s):  
Marta Braun
Keyword(s):  
Single Camera ◽  
Art And Science ◽  
Animal Locomotion ◽  
Human Figure ◽  
Final Work

Eadweard Muybridge's 1887 photographic atlas Animal Locomotion is a curious mixture of art and science, a polysemic text that has been subject to a number of readings. This paper focuses on Muybridge's technology. It seeks to understand his commitment to making photographs with a battery of cameras rather than a single camera. It suggests reasons for his choice of apparatus and shows how his final work, The Human Figure in Motion (1901), justifies the choices he made.

Flexible Two-wheeled Self-balancing Robot Control Based on Hopfield Neural Network

ROBOT ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 405-413
Author(s):  
Xiaogang RUAN ◽  
Jianwei ZHAO
Keyword(s):  
Neural Network ◽  
Robot Control ◽  
Hopfield Neural Network ◽  
Balancing Robot
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