What has four legs, can walk in any direction, is nearly as fast as a human, and can carry equipment? The innovative Legged Locomotion and Movement Adaptation (LLAMA). Still under development, LLAMA could be used on rough, uneven terrain, and in other challenging environments not suited for robots with wheels or tracks.

Lama est un robot conçu par le Laboratoire d'analyse et d'architecture des systèmes (LAAS) au début des années 1990, à partir d'un châssis de robot Marsokhod soviétique, pour l'étude de l'exploration de Mars. Il fut acquis par Alcatel Space Industries en 1995 et a été mis à disposition du LAAS jusqu'en 2004.

Conception d'une fiche explicative sur l'anatomie, le fonctionnement et l'histoire du robot LAMA pour le musée des arts et métiers de Paris (MAM). Le document a été pensé comme une expérience de projection dans la mission du robot. On y retrouve donc un signal brouillé en fond, également synonyme de découverte (face cachée de Mars).

Lama is a Marsokhod rover built by VNII Transmach in St Petersburg, Russia. It was bought by Alcatel Space Industries in 1996, and has been lent to LAAS since. Most of our developments and demonstrations have been integrated within this rover (by the way, Lama stands for "Lavochkin Alcatel Model Autonomous"). Evolution

Pour se déplacer, le robot LAMA est doté de six roues, chacune étant commandée par un moteur indépendant. Si le châssis est très flexible, le roues ne peuvent pas tourner. C’est leur vitesse de rotation qui permet de changer la direction du robot, comme pour un tank.

Terrain and traversability analysis is a multidisciplinary field combining robotics with image and signal processing, feature extraction, machine learning, three-dimensional (3D) mapping, and 3D...

LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory from the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching and two SLAM solution (an Online SLAM and a Particle ...

In robotics, the ultimate goal of reinforcement learning is to endow robots with the ability to learn, improve, adapt and reproduce tasks with dynamically changing constraints based on...

www.robotlama.com

Navigating hundreds of meters without any human intervention requires the robot to be able to build various representations of its environment, to plan and execute trajectories according to the...