Having a robot figure out its global position is required in many real world applications, it’s also one of the biggest challenges in robotics.
The easiest approach is to have a robot blindly ke...
Many robots are required to move like humans. Human-like motion is useful to efficiently interact with humans and environments built for them, make realistic humanoids or replace actual limbs (prosthe...
To map their environment, robots typically collect large amounts of range and bearing measurements to walls around them. However, when using noisy sensors, additional efforts need to be done to extrac...
In the future, robots will be expected to learn a task and execute it in a variety of realistic situations. Reinforcement-learning and planning algorithms are exactly intended for that purpose. Howeve...
Identifying dynamic objects in urban environments has become a major concern with the advent of autonomous cars in industry and competitions such as the Darpa Urban Challenge. However, detecting and c...
Manipulating objects is still a major challenge for robots in human-centered environments. To overcome this hurdle, Prats et al. propose to combine vision, force and tactile sensing to achieve robust ...
Robots often need to know where they are in the world to navigate efficiently. One of the cheapest ways to localize is to strap a camera on-board and extract visual features from the environment. Howe...