SBIR-STTR Award

Advanced Tactile Sensing for Dexterous Robot Hands in Industrial Automation and Assembly
Award last edited on: 7/11/2014

Sponsored Program
SBIR
Awarding Agency
DOC : NIST
Total Award Amount
$389,749
Award Phase
2
Solicitation Topic Code
-----

Principal Investigator
Jeremy Allan Fishel

Company Information

Syntouch LLC

3720 Clifton Place
Montrose, CA 91020
   (213) 493-4400
   N/A
   www.syntouchllc.com
Location: Single
Congr. District: 28
County: Los Angeles

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2013
Phase I Amount
$89,989
Robotic actuators exceed human speed, accuracy, and strength, but human hands are regarded as the ultimate in dexterity. SynTouch proposes this is due absent human-like tactile sensing and intelligent reflexive behaviors in robots. SynTouch created a multimodal compliant tactile sensor that mimics the sensory ability of the human fingertip (force, vibration and temperature) and algorithms that fill this absence. In this research, we will perform integration of the BioTac with the Schunk Dexterous Hand (SDH). Working with NIST and industrial partners, SynTouch will develop measures of robotic grasper dexterity and use them to evaluate new tactile sensory technology with the older tactile sensors of the SDH. The biomimetic nature of the BioTac and biologically-inspired reflexive behaviors will lead to a new level of dexterity, enabling advanced applications in industrial automation and assembly.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2014
Phase II Amount
$299,760
Robotic actuators exceed human speed, accuracy, and strength, but human hands are regarded as the ultimate in dexterity. We propose this is due absent human-like tactile sensing and intelligent reflexive behaviors in robots. We’ve created multimodal compliant tactile sensors that mimic the sensory ability of the human fingertip and algorithms that fill this absence. In this research we will integrate these with the Schunk Dexterous Hand (SDH). Working with NIST and our partners we will develop measures of robotic grasper dexterity and use them to evaluate our new tactile sensory technology with the older tactile sensors of the SDH. This will lead to a new level of dexterity, enabling advanced applications in industrial automation and assembly.