3D Path Planning and Execution for Search and Rescue Ground Robots Francis Colas and Srivatsa Mahesh and Franc¸ois Pomerleau and Ming Liu and Roland Siegwart Abstract— One milestone for autonomous mobile robotics is t

Source URL: www.ee.ust.hk

• Robotics
• Robot navigation
• Motion planning
• Theoretical computer science
• Artificial intelligence
• Probabilistic roadmap
• Mobile robot
• Robot
• Autonomous robot
• Simultaneous localization and mapping
• Any-angle path planning

An Approach to Socially Compliant Leader Following for Mobile Robots Markus Kuderer and Wolfram Burgard Department of Computer Science, University of Freiburg Abstract. Mobile robots are envisioned to provide more and m

Source URL: europa2.informatik.uni-freiburg.de

• Robotics
• Robot kinematics
• Robot
• Mobile robot
• Humanrobot interaction
• Velocity obstacle
• Motion planning
• Navigation function
• Humanoid robot
• Taarlab

Robot Navigation in Hand-Drawn Sketched Maps Federico Boniardi Bahram Behzadian Wolfram Burgard

Source URL: europa2.informatik.uni-freiburg.de

• Robot navigation
• Mobile robot navigation
• Robotics
• Mobile robot
• Robotic mapping
• Robot
• Simultaneous localization and mapping
• Motion planning
• Monte Carlo localization
• Occupancy grid mapping
• Distribution
• Localization

Autonomous Indoor Robot Navigation Using Sketched Maps and Routes Federico Boniardi Abhinav Valada

Source URL: europa2.informatik.uni-freiburg.de

• Mobile robot navigation
• Mobile robot
• Autonomous robot
• Robotics
• Robot
• Wolfram Burgard
• Artificial intelligence

Relative Topometric Localization in Globally Inconsistent Maps Mladen Mazuran, Federico Boniardi, Wolfram Burgard, and Gian Diego Tipaldi Abstract Mobile robot localization is a mature field that over the years has demon

Source URL: europa2.informatik.uni-freiburg.de

• Robot navigation
• Artificial intelligence
• Robot control
• Mathematics
• Localization
• Ring theory
• Simultaneous localization and mapping
• Computer vision
• Occupancy grid mapping
• Wolfram Burgard
• Robotic mapping
• Monte Carlo localization

Machine Learning Applied to Terrain Classification for Autonomous Mobile Robot Navigation John Rogers, Andrew Lookingbill CS 229 Final Project I. I NTRODUCTION We work on the Stanford AI Lab team for the DARPA-funded Lea

Source URL: cs229.stanford.edu

ETHZ D-INFK Prof. Dr. B. Meyer, Dr. J. Shin Robotics Programming Laboratory – Assignments Fall 2013

Source URL: se.inf.ethz.ch

• Robotics
• Monte Carlo methods
• Robot control
• Robot navigation
• Monte Carlo localization
• Robot Operating System
• Mobile robot
• PrimeSense
• Particle filter
• Robotic mapping
• Kidnapped robot problem
• Robot

Learning Deformable Object Models for Mobile Robot Navigation using Depth Cameras and a Manipulation Robot Barbara Frank Ruediger Schmedding

Source URL: cg.informatik.uni-freiburg.de

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems September 25-30, 2011. San Francisco, CA, USA Communication assisted navigation in robotic swarms: self-organization and cooperation

Source URL: www.swarmanoid.org

• Autonomous robot
• Biology
• Swarm behaviour
• Swarm intelligence
• Swarm robotics
• Francesco Mondada
• Future of robotics
• Time
• Ethology
• Multi-agent systems
• Robot
• Mobile robot

The 4th International Conference on Field and Service Robotics, July 14–16, 2003 Scan Alignment and 3-D Surface Modeling with a Helicopter Platform Sebastian Thrun Mark Diel

Source URL: robots.stanford.edu

• Cartography
• Robot navigation
• Simultaneous localization and mapping
• Autonomous robot
• Robotics
• Mobile robot
• Pose
• Sebastian Thrun
• XT
• Artificial intelligence
• Autonomy
• Computer vision