OMASS Optoacoustic Material And Structure Sensor

Overview

Optoacoustic Material And Structure Sensor (OMASS) is a new bi-modal miniature fingertip-mounted sensor that can detect object material type, surface shape, close-to-surface interior structure without contacting the target.

In optoacoustic mode, OMASS utilizes optoacoustic effect to generate laser-induced sound waves and probe material type and structure based on spectrum, time-of-flight, and intensity analyses of the received signal.

In ultrasonic mode, OMASS uses pulse-echo ultrasound signal to sense proximity and material type.

Publications

  1. Cheng Fang, Di Wang, Dezhen Song, and Jun Zou, “Fingertip Non-Contact Optoacoustic Sensor for Near-Distance Ranging and Thickness Differentiation for Robotic Grasping”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Oct. 25-29, 2020.

  2. Shu-Hao Yeh, Yan Lu, and Dezhen Song, “Model Quality Aware RANSAC: A Robust Camera Motion Estimator”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Oct. 25-29, 2020.

  3. Binbin Li, Dezhen Song, Aaron Kingery, Dongfang Zheng, Yiliang Xu, and Huiwen Guo, “Lane Marking Verification for High Definition Map Maintenance Using Crowdsourced Images”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Oct. 25-29, 2020.

  4. Haifeng Li, Chieh Chou, Longfei Fan, Binbin Li, Di Wang, and Dezhen Song, “Toward Automatic Subsurface Pipeline Mapping by Fusing a Ground-Penetrating Radar and a Camera”, IEEE Transactions on Automation Science and Engineering (T-ASE), Vol. 17, No. 2 , April 2020, pp 722-734.

  5. Chieh Chou, Di Wang, Dezhen Song, and Timothy A. Davis, “On the Tunable Sparse Graph Solver for Pose Graph Optimization in Visual SLAM Problems”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 4-8, 2019.

  6. Binbin Li, Dezhen Song, Ankit Ramchandani, Hsin-Min Cheng, Di Wang, Yiliang Xu, and Baifan Chen, “Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving: A Tight Coupling between Perception and Planning”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 4-8, 2019.

  7. Cheng Fang, Di Wang, Dezhen Song, and Jun Zou, “Toward Fingertip Non-Contact Material Recognition and Near-Distance Ranging for Robotic Grasping”, IEEE International Conference on Robotics and Automation (ICRA), Montreal, Quebec, Canada, May 20-24, 2019.

  8. Xiaoyu Duan, Dezhen Song, and Jun Zou, “Steering Co-centered and Co-directional Optical and Acoustic Beams with a Water-immersible MEMS Scanning Mirror for Underwater Ranging and Communication”, IEEE International Conference on Robotics and Automation (ICRA), Montreal, Quebec, Canada, May 20-24, 2019.

  9. Hsin-Min Cheng and Dezhen Song, “Graph-based Proprioceptive Localization Using a Discrete Heading-Length Feature Sequence Matching Approach”, IEEE Transactions on Robotics (T-RO), (Accepted, Early access)

  10. Chieh Chou, Haifeng Li, and Dezhen Song, “Encoder-Camera-Ground Penetrating Radar Sensor Fusion: Bimodal Calibration and Subsurface Mapping”, IEEE Transactions on Robotics (T-RO), (Accepted, Early access)

This research is supported by National Science Foundation.

OMASS @ Texas A&M University