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Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning EquiDexFlow: Contact-Grounded SE(3)-Equivariant Dexterous Grasp Generative Flows FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation Planning with the Views via Scene Self-Exploration Lifted Schrödinger Bridges for Gaussian Mixture Endpoints: Projection Gaps and Path-Space Obstructions Micro-Swarm Locomotion Optimization in Dynamic Flow using Multi-Objective Multi-Agent Reinforcement Learning OGPO: Sample Efficient Full-Finetuning of Generative Control Policies 4D Radar Semantic Segmentation of People in Field Conditions Using Temporal Multi-View Networks Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency Compact 3D Gaussian Splatting For Dense Visual SLAM Personalized Embodied Navigation for Portable Object Finding Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of 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An Optimised Brushless DC Motor Control Scheme for Robotics Applications
Nilabha Das, Laxman Rao S. Paragond, Balkrushna H. Waghmare · 2024-04-26 · via cs.RO updates on arXiv.org

This work aims to develop an integrated control strategy for Brushless Direct Current Motors for a wide range of applications in robotics systems. The controller is suited for both high torque - low speed and high-speed control of the motors. Hardware validation is done by developing a custom BLDC drive system, and the circuit elements are optimised for power efficiency.

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