Goto

Collaborating Authors

 robot development


Interview with Jerry Tan: Service robot development for education

Robohub

At the International Joint Conference on Artificial Intelligence (IJCAI) 2023, I had the opportunity to interview Jerry Tan from Lattel Robotics, a company dedicated to promoting AI-focused robotics education and training. They work closely with the RoboCup@Home Education initiative, supporting schools and institutions in introducing AI and service robot development to students. Their goal is to equip learners with practical AI application skills in computer vision, autonomous navigation, object manipulation and speech interactions. Through their AI robotics and AI applications workshops, Lattel Robotics offers an introduction to robot operating system (ROS)-based AI applications development in service robotics. As a hardware partner for the RoboCup@Home Education initiative, they assist schools and institutions in competing in AI robotic challenges by developing applications that address real-world problems.

  Country:
  Industry: Education > Educational Setting > Online (0.32)

Automatic Robotic Development through Collaborative Framework by Large Language Models

Luan, Zhirong, Lai, Yujun

arXiv.org Artificial Intelligence

Despite the remarkable code generation abilities of large language models LLMs, they still face challenges in complex task handling. Robot development, a highly intricate field, inherently demands human involvement in task allocation and collaborative teamwork . To enhance robot development, we propose an innovative automated collaboration framework inspired by real-world robot developers. This framework employs multiple LLMs in distinct roles analysts, programmers, and testers. Analysts delve deep into user requirements, enabling programmers to produce precise code, while testers fine-tune the parameters based on user feedback for practical robot application. Each LLM tackles diverse, critical tasks within the development process. Clear collaboration rules emulate real world teamwork among LLMs. Analysts, programmers, and testers form a cohesive team overseeing strategy, code, and parameter adjustments . Through this framework, we achieve complex robot development without requiring specialized knowledge, relying solely on non experts participation.


Five years after Fukushima disasters, region encourages rise of robotics

The Japan Times

Japan is spending more than 1 billion to resurrect the area around the wrecked Fukushima No. 1 nuclear plant as the country's "Innovation Coast." The region is trying to capitalize on technology developed in the five years spent cleaning up the worst nuclear disaster since Chernobyl, including Hitachi Ltd. and Toshiba Corp. robots that slither like snakes or cruise through radioactive water like speed boats to investigate the flooded reactors. Fukushima Prefecture -- like Beirut or post-bankruptcy Detroit -- is ripe to develop a strong tech community, according to Samhir Vasdev, an innovation consultant at the World Bank. "To lead the future from Fukushima, we must overcome our failures," Fukushima Gov. Masao Uchibori said at the Foreign Press Center in Tokyo last month. "Creating new industries will attract new people, which will be vital to revitalizing the region."