Applications in robotics or other size-, weight- and power-constrained autonomous systems at the edge often require real-time and low-energy solutions to large optimization problems. Event-based and memory-integrated neuromorphic architectures promise to solve such optimization problems with superior energy efficiency and performance compared to conventional von Neumann … [Read more...] about Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control
Real-time systems
Enhancing Dexterity in Confined Spaces: Real-Time Motion Planning for Multifingered In-Hand Manipulation
Dexterous in-hand manipulation in robotics, particularly with multi-fingered robotic hands, poses significant challenges due to the intricate avoidance of collisions among fingers and the object being manipulated. Collision-free paths for all fingers must be generated in real-time, as the rapid changes in hand and finger positions necessitate instantaneous recalculations to … [Read more...] about Enhancing Dexterity in Confined Spaces: Real-Time Motion Planning for Multifingered In-Hand Manipulation
Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture
Robots are increasingly used in subsea environments because of their positive impact on human safety and operational capabilities in the deep ocean. However, achieving full autonomy remains challenging because of the extreme conditions they encounter. In this context, we propose an autonomous underwater architecture for long-term deep-ocean inspection that robustly plans … [Read more...] about Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework
Disturbances caused by unknown dynamics and environmental factors render the automatic control of underwater vehicles extremely challenging. These effects are complex, time varying, and difficult to model accurately, leading to possible instability in the control process. This article focuses on the disturbance rejection problem of an underactuated bionic underwater vehicle … [Read more...] about Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework
A Hybrid Visual–Haptic Framework for Motion Synchronization in Human–Robot Cotransporting
In this article, we propose a hybrid visual–haptic framework enabling a robot to achieve motion synchronization in human–robot cotransporting. Visual sensing is employed in capturing human motion in real time. To deal with the inherent delays between the human’s initiative motion and the robot’s responsive motion in cotransporting, a human motion prediction method is developed … [Read more...] about A Hybrid Visual–Haptic Framework for Motion Synchronization in Human–Robot Cotransporting