Journal
IEEE ROBOTICS AND AUTOMATION LETTERS
Volume 1, Issue 2, Pages 1125-1132Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LRA.2016.2524073
Keywords
Force and tactile sensing; multilegged robots
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Funding
- Army Research Laboratory under the Micro Autonomous Systems and Technology Collaborative Technology Alliance
- NSF
- Samsung Scholarship
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We present the design and implementation of a miniature tactile sensing array for ground reaction force measurements in small legged robots. Dynamic ground pressure data from the sensors were collected using a small two-legged runner and used to train a support vector machine (SVM) terrain classifier. Results show that tactile sensing data, in combination with information about the motor torque and robot gait, are sufficient to distinguish among hard, slippery, grassy and granular terrain types with >90% accuracy in a single stride. The most useful classifier features include stride frequency, peak motor torque, and peak and average tactile sensor readings.
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