JOURNAL ARTICLE

Collision Sensing Using Force/Torque Sensor

Yuquan LengZheng-Cang ChenXu HeYang ZhangWei Zhang

Year: 2015 Journal:   Journal of Sensors Vol: 2016 Pages: 1-10   Publisher: Hindawi Publishing Corporation

Abstract

Collision sensing including collision position, collision direction, and force size could make robots smoothly interact with environment, so that the robots can strongly adapt to the outside world. Skin sensor imitates principles of human skin using special material and physical structure to obtain collision information, but this method has some disadvantages, such as complex design, low sampling rate, and poor generality. In this paper, a new method using force/torque sensor to calculate collision position, collision direction, and force size is proposed. Detailed algorithm is elaborated based on physical principle and unified modeling method for basic geometric surface. Gravity compensation and dynamic compensation are also introduced for working manipulators/robots in gravity and dynamic environment. In addition, considering algorithm solvability and uniqueness, four constraints are proposed, which are force constraint, geometric constraint, normal vector constraint, and current mutation constraint. In order to solve conflict solution of algorithm in redundant constraints, compatibility solution analysis is proposed. Finally, a simulation experiment shows that the proposed method can achieve collision information efficiently and accurately.

Keywords:
Collision Constraint (computer-aided design) Collision detection Torque Robot Control theory (sociology) Computer science Contact force Generality Simulation Engineering Artificial intelligence Classical mechanics Physics Mechanical engineering

Metrics

9
Cited By
0.95
FWCI (Field Weighted Citation Impact)
9
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering

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