Measurement of shear forces during gripping tasks with a low-cost tactile sensing system
Rishabh Agarwal, Sarah Bergbreiter
- Year
- 2019
- Citations
- 4
Abstract
To grasp and manipulate complex objects, robots require information about the interaction between the end effector and the object. This work describes the integration of a low-cost 3-axis tactile sensing system into two different robotic systems and the measurement of these complex interactions. The sensor itself is a small, lightweight, and compliant silicone based capacitive sensor. The soft and conformable design of the sensor allows it to be integrated within a variety of end effectors and locations on those end effectors (e.g. wrapped around a finger). To improve integration and data collection of the sensors, a custom interface board and ROS (Robot Operating System) package were developed. Sensor data has been collected from four different tasks: 1. pick and place of non-conductive and conductive objects, 2. wrist-based manipulation, 3. peeling tape, and 4. human interaction with a grasped object. In the last task, a closed loop controller is used to adjust the grip force on the grasped object while the human interacts with it.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002