Muhammad Shafique
収録論文 17本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- MVB-Grasp: Minimum-Volume-Box Filtering of Diffusion-based Grasps for Frontal Manipulation2026/5/1
- Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation2026/5/1
- Scale-Gest: Scalable Model-Space Synthesis and Runtime Selection for On-Device Gesture Detection2026/5/1
- Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models2026/4/1
- BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility2025/6/1
- Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents2025/4/1
- SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms2024/9/1
- FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems2024/7/1
- A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data2024/4/1
- Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack2024/4/1
- SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents2024/4/1
- SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications2024/3/1
- MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System2024/3/1
- APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation2023/3/1
- TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents2023/3/1
- Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks2022/12/1
- On the Application of Efficient Neural Mapping to Real-Time Indoor Localisation for Unmanned Ground Vehicles2022/11/1