The 11th "Robot Intelligence" Forum Held Successfully
Release time:May 24th , 2021      

In preparation for the upcoming National Science and Technology Workers Day, we are celebrating the 40th anniversary of the founding of the Chinese Artificial Intelligence Society. The 11th “Robot Intelligence” forum, hosted by the CAAI and the CAAI Special Committee on Cognitive Systems and Information Processing, was successfully held on May 24, with more than 260,000 live online viewers on multiple platforms. Professor Chen Xiaoping from University of Science and Technology of China, Professor Wan Weiwei of Osaka University in Japan, Researcher Wang Binghao of Southeast University and Dr. Su Hang from Polytechnic University of Milan were invited to share the latest theoretical and technical achievements.

Deep Challenges for Intelligent Robots: AI Modeling-Decision Making and (Non) Closure

First, Professor Chen Xiaoping shared the report “Deep Challenges for Intelligent Robots: AI Modeling-Decision Making and (Non) Closure”. The report was divided into four parts: “Scientific Connotation of Intelligent Robot and AI”, “Existing AI Core Technology and its Integration”, “Existing AI Application Conditions-closure” and “Beyond Closure: Open Knowledge and Diversity”. Professor Chen explained in detail the implications of intelligent robots, including: robots are intelligent; environmental changes are unpredictable, neither accurately modeled nor perceived; and task execution is affected by environmental changes. And he further elaborated the thought machine scientific connotation. Professor Chen also proposed three layers of artificial intelligence, and talked about the fourth wave of AI trends. Then he analyzed the essential gap between the closure of AI technology and the non-closure of intelligent robot application scene, analyzed the basic reason of the closure, and expounded the closure criteria and some paths of the closure of scene. Finally, the latest research results of the research group were shared.

 

Open Source Robot Simulation Control Platform

In the second session, Osaka University Professor Wan Weiwei shared the “Open Source Robot Simulation Control Platform” report. The report described the development of a ROS-alike robot planning simulation and control platform, focusing on the integration of research results on hybrid mission and motion planning in the system, and based on this a series of robot rapid deployment applications.

Wearable Electronic Skin and Human-computer Interface

The third report was shared by Southeast University researcher Wang Binghao. The report focused on two developments: 1) a multi-functional stretchable sensor based on metal oxide nanowire and a nanowire network fabricated by high-throughput blow-spinning technology, which solved the problem of incompatibility between inorganic materials and stretchable/wearable devices. The wearable device can detect information related to human activities, including gas, ultraviolet light, pressure, temperature, body movement and exhalation. Moreover, the monolithic integrated sensor system based on metal oxide nanowires enabled human-computer interaction to have multiple sensing functions and high level of recognition capability. 2) the waterproof wearable sensor was reported and the underwater wireless remote control of the robot hand was demonstrated. A stretchable waterproof sensor was fabricated by the coating of silicone with a laser-induced graphene sensing layer. The wearable device could work continuously underwater for up to 5 hours and detect strain, temperature and pressure. By installing five sensor arrays, the gesture recognition and underwater wireless remote control of the robot hand were further demonstrated.

Application of Redundant Robot in Teleoperation Scene

The final report was shared by Dr Su Hang from Polytechnic University of Milan. Redundant robots could be used for a variety of purposes by introducing hierarchical control, such as security enhancement, remote motion centers, operability, and flexible human-robot collaboration. Especially for the teleoperation scenarios such as operating room, redundant robots have been widely used. Due to physical interactions, the safety and accuracy of teleoperation could be affected. How to use redundancy in teleoperation scenario was discussed in detail in this paper.

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