![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Visual and Tactile Fusion for Estimating the Pose of a Grasped Object
This paper considers the problem of fusing vision and touch senses together to estimate the 6D pose of an object while it is grasped. Assuming that a textured 3D model of the object is available, first, Scale-...
-
Chapter and Conference Paper
Quality Study of Robot Trajectories Based on the Anisotropic Fast Marching Method
Fast Marching Method has been applied to many fields such as image processing or path planning. For path planning, the Anisotropic Fast Marching Method can be used, which allows computing paths with small grad...
-
Chapter and Conference Paper
Tactile-Based In-Hand Object Pose Estimation
This paper presents a method to estimate the pose of an object inside a robotic hand by exploiting contact and joint position information. Once an initial visual estimation is provided, a Bootstrap Particle Fi...
-
Chapter and Conference Paper
Path Planning for Mars Rovers Using the Fast Marching Method
This paper presents the application of the Fast Marching Method, with or without an external vectorial field, to the path planning problem of robots in difficult outdoors environments. The resulting trajectory...
-
Chapter and Conference Paper
Learning-Based Floor Segmentation and Reconstruction
This paper presents a comparison of the different colour spaces used in an environment modelling algorithm. This algorithm is based on the fusion of depth and colour information of a low-cost RGB-D camera to m...
-
Chapter and Conference Paper
Improving Sampling-Based Path Planning Methods with Fast Marching
Sampling-based path planning algorithms are well-known because they are able to find a path in a very short period of time, even in high-dimensional spaces. However, they are non-smooth, random paths far away ...