LNAI 2955 - Concepts and Fuzzy Models for Behavior-Based Robotics
Concepts for Anchoring in Robotics
Presentazione di PowerPoint
Anchoring: do we need new solutions
Mobile and interactive autonomous robots at AIRLab | AEA Polimi
Matteo Matteucci | DeepAI
Presentazione di PowerPoint
DEVICE COMMUNITIES DEVELOPMENT TOOLKIT: AN INTRODUCTION
Pattern Analysis and Machine Intelligence
PDF) RTCAN: A real-time CAN-bus protocol for robotic applications
PDF) Robust moving objects detection in lidar data exploiting visual cues
IEEE Robotics & Automation Magazine - September 2015 - 59
Problems and solutions for anchoring in multi-robot applications
Politecnico di Milano - The European Coordination Hub for Open Robotics Development
Concepts and fuzzy models for behavior-based robotics
Matteo MATTEUCCI | Associate Professor | Professor | Politecnico di Milano, Milan | Polimi | Department of Electronics, Information, and Bioengineering
User:MatteoMatteucci - AIRWiki
Scan matching covariance estimation and SLAM: models ... - AIRLab
Matteo Matteucci - Politecnico di Milano-DEIB
LEARNING FUZZY CLASSIFIER SYSTEMS: ARCHITECTURE AND EXPLORATION ISSUES
Modular Low-Cost Robotics: What Communication Infrastructure?
Chrome
On the collection of robot-pose Ground-Truth, for indoor scenarios, in the RAWSEEDS project
Benchmarking via Challenges & Competitions”
Automazione on Twitter: "Prof. Matteo Matteucci #AIRLab @polimi sul senso dei #Bigdata passando per il #deeplearning e #algoritmi #autoapprendimento convegno #bigdatarobotica #FANUC Italia @FANUCAmerica https://t.co/I1hqwfGKcr" / Twitter
Presentazione di PowerPoint
Intelligenza artificiale in medicina spiegata da un esperto - YouTube
