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Michele Magno β most-cited papers & profile Β· Reinforcement Learning
β authors
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overview
Michele Magno
12
papers Β·
12
citations
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Most-cited papers
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications
2021 Β· 7 citations
Autonomous Navigation in Dynamic Human Environments with an Embedded 2D LiDAR-based Person Tracker
2024 Β· 3 citations
BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance
2024 Β· 1 citations
Ultra-Lightweight Collaborative Mapping for Robot Swarms
2024 Β· 1 citations
LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation
2026
An Empirical Study of Qwen3 Quantization
2025
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning
2025
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
2025
Robust Reinforcement Learning-Based Locomotion for Resource-Constrained Quadrupeds with Exteroceptive Sensing
2025
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
2023
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
2024
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
2024
Topics
Navigation
Perception
Efficiency
Human-Robot Interaction
Control
Drones
Evaluation
Training Techniques
Sim-to-Real
Locomotion