Search Results for author:
Found 10 papers, 4 papers with code
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models
The ability of a robot to pick an object, known as robot grasping, is crucial for several applications, such as assembly or sorting.
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation.
People Tracking in Panoramic Video for Guiding Robots
In this paper, we propose a set of targeted methods that allow to effectively adapt to panoramic videos a standard people detection and tracking pipeline originally designed for perspective cameras.
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
The proposed approach achieves cutting-edge results without the need of training the models with real annotated data of human body parts.
Receding Horizon Task and Motion Planning in Changing Environments
Our approach iteratively solves a reduced planning problem over a receding window of a limited number of future actions during the implementation of the actions.
Robotics
Quaternion Equivariant Capsule Networks for 3D Point Clouds
We present a 3D capsule module for processing point clouds that is equivariant to 3D rotations and translations, as well as invariant to permutations of the input points.
Real-time Tracking-by-Detection of Human Motion in RGB-D Camera Networks
This paper presents a novel real-time tracking system capable of improving body pose estimation algorithms in distributed camera networks.
Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks
This paper proposes a novel system to estimate and track the 3D poses of multiple persons in calibrated RGB-Depth camera networks.
Fast and Robust Detection of Fallen People from a Mobile Robot
This paper deals with the problem of detecting fallen people lying on the floor by means of a mobile robot equipped with a 3D depth sensor.
Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras
Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications.
