WEDNESDAY November 04, 9:00am - 9:30am | Slot 3
EVENT TYPE: SPECIAL SESSION
SESSION 12C
Towards Real-time Energy-efficient Mobile Robotics: From Algorithm to Hardware
Moderator:
Jiang Hu - Texas A&M Univ.
Organizer:
Bo Yuan - Rutgers Univ., Piscataway, NJ
Background— A Robot is a very complex information processing system. A robot needs inception capability to sense, cognition capability to understand, and decision capability to act. From the perspective of computing, such an entire sense-understand-act pipeline is involved with various computation-intensive algorithms in many fields, including but not limited to machine learning, computer vision, control, signal processing etc.
Motivation— In the emerging cyber-physical system (CPS) era, a rapidly growing field in robotics, namely mobile robotics, has received a lot of attention because of its very widespread practical applications, such as search-and-rescue, underwater exploration, and autonomous delivery. In the scenario of mobile robotics, computational resource and energy budget are typically restricted, while the need for real-time and low-power solutions become more demanding, thereby bringing severe challenges but also exciting opportunities for the VLSI and computing community.
Although the study in efficient computing for robotics is still in its infancy, recently researchers in both academia and industry have made significant progress in addressing the above challenges. These research efforts that would be presented in this special session, range from algorithm to circuit to accelerator architecture to near-sensor computing, and they will lead to promising cross-layer solutions towards real-time energy-efficient mobile robotics.
Rationale-- This special session will be a good match for ICCAD 2020. Mobile robotics is naturally involved with many computing limitations and challenges, where the VLSI and computing community can provide promising solutions. In addition, many classical problems in robotics, such as motion planning and grid-based path routing, share the very similar mathematical format in the problems well investigated in VLSI field, e.g. the routing problem in CAD. According to the initial feedbacks and the received topics of all the prospective contributors, we are confident that this special session we hereby propose will be of significant interest and importance to ICCAD 2020 attendees and be of high quality and impact commensurate with the high reputation of ICCAD.
Moreover, we also hold the belief that this special session is very necessary. The research efforts on energy-efficient computing for mobile robotics are quite interdisciplinary, which requires a comprehensive investigation ranging from algorithm innovation to underlying hardware circuit design. To sum up, the wide spectrum of those research efforts makes us believe that it is necessary to organize this special session in ICCAD 2020.
| 12C.1 | Efficient Computing for Low-Energy Robotics | |
| Speaker: | Vivienne Sze - MIT |
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| Author: | Vivienne Sze - MIT |
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| 12C.2 | Hardware Acceleration of Robot Scene Perception Algorithms | |
| Speaker: | R. Iris Bahar - Brown Univ., Providence, RI |
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| Authors: | Yanqi Liu - Brown Univ. Can Eren Durman - Brown Univ. Giuseppe Calderoni - Politecnico di Torino R. Iris Bahar - Brown Univ., Providence, RI |
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| 12C.3 | DaDu Series- Fast and Efficient Robot Accelerators | |
| Speaker: | Yinhe Han - Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie |
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| Authors: | Yinhe Han - Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie Yuxin Yang - Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie Xiaoming Chen - Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie Shiqi Lian - Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie |
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| 12C.4 | TACOS: Tactile Core with Optical Strain Sensor for Robotic Smart Skin | |
| Speaker: | Fei Qiao - Tsinghua Univ. |
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| Authors: | Zheyu Liu - Tsinghua Univ., Beijing, China Jingyi Zhou - Tsinghua Univ., Beijing, China Huichan Zhao - Tsinghua Univ. Qi Wei - Tsinghua Univ., Beijing, China Fei Qiao - Tsinghua Univ. Xinjun Liu - Tsinghua Univ., Beijing, China Huazhong Yang - Tsinghua Univ., Beijing, China |
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