Abstract: Industrial robotics demands significant energy to operate, making energy-reduction methodologies increasingly important. Strategies for planning minimum-energy trajectories typically involve solving nonlinear optimal control problems (OCPs), which rarely cope with real-time (RT) requirements. In this article, we propose a paradigm for generating near … [Read more...] about Real-Time Generation of Near Minimum-Energy Trajectories via Constraint-Informed Residual Learning: A Paradigm for Learning From Optimal Solutions
Standards
IEEE Launches New Study Group for Humanoids to Explore Current Standards Landscape and Develop Future Standards Roadmap [Standards]
To help support the rapid development of humanoid robotics across numerous industries, the IEEE Robotics and Automation Society’s Standing Committee for Standards Activities has approved a new study group to explore what standards should be developed going forward. This article describes this new study group and solicits participation from others in the community who are … [Read more...] about IEEE Launches New Study Group for Humanoids to Explore Current Standards Landscape and Develop Future Standards Roadmap [Standards]
