Exploration-based Model Learning with Self-Attention for Risk-Sensitive Robot Control

Engineering, Mechanical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
robot control   self-attention   model learning   risk-sensitive   reinforcement learning   dynamics model   kinematics model  

Discussion on Risk-Sensitive Robot Control Based on Self-Attention Mechanism Research Background The kinematics and dynamics in robot control are key factors to ensure the precise completion of tasks. Most robot control schemes rely on various models to achieve task optimization, scheduling, and priority control. However, the dynamic characteristic...

Bio-Inspired 3D-Printed Artificial Limb Assisting Cyborg Insects in Self-Righting Locomotion

Bio-Inspired 3D-Printed Artificial Limb Assisting Cyborg Insects in Self-Righting Locomotion

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence, Life Sciences, Bioengineering,
Bio-Inspired   3D Printing   Artificial Limb   Cyborg Insects   Self-Righting   Rescue Missions  

Research Background In rescue missions, to improve search and rescue efficiency, an emerging solution is the use of a combination of electronic backpacks and insects, known as cyborg insects. These insects combine the advantages of biological and electronic technologies, with additional electronic backpacks used for communication, sensing, and cont...

Investigating Chiral Morphogenesis of Gold Using Generative Cellular Automata

Chemistry, Nanoscience, Physical Chemistry, Materials Science, Metallic Materials, Information Science, Artificial Intelligence,
chirality   gold nanoparticles   cellular automata   deep learning   crystal growth  

Using Generative Cellular Automata to Study the Chiral Morphogenesis of Gold Background and Objectives Chirality is ubiquitous in nature and can be transferred and amplified between systems through specific molecular interactions and multi-scale couplings. However, the mechanisms of chiral formation and the critical steps during the growth process ...

Accelerating Ionizable Lipid Discovery for mRNA Delivery Using Machine Learning and Combinatorial Chemistry

Chemistry, Computational Chemistry, Information Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering,
mRNA delivery   machine learning   ionizable lipids   combinatorial chemistry   lipid nanoparticles  

Accelerating the Discovery of Ionizable Lipids for mRNA Delivery using Machine Learning and Combinatorial Chemistry Research Background To fully realize the potential of mRNA therapies, it is essential to expand the toolkit of lipid nanoparticles (LNPs). However, a key bottleneck in LNP development is identifying new ionizable lipids. Previous stud...

Advanced Optimal Tracking Integrating a Neural Critic Technique for Asymmetric Constrained Zero-Sum Games

Mathematics, Information Science, Automation, Artificial Intelligence,
neural networks   adaptive dynamic programming   asymmetric constraints   zero-sum games   optimal tracking control  

Academic Report: Advanced Optimal Tracking Integrating Neural Critic Technique for Asymmetric Constrained Zero-Sum Games Background and Research Problem In the field of modern control, game theory is the mathematical model that studies the competition and cooperation between intelligent decision-makers, involving an interaction decision problem wit...

An Invisible, Robust Protection Method for DNN-Generated Content

Information Science, Artificial Intelligence,
deep neural networks   invisible perturbation   protection technique   robustness   generated content   image encoding   social media  

Invisible and Robust Protection Method for Content Generated by Deep Neural Networks Academic Background In recent years, with the revolutionary development and widespread application of deep learning models in engineering applications, phenomenon-level applications such as ChatGPT and DALL⋅E 2 have emerged, profoundly impacting people’s daily live...