Search Results for author:
Found 5 papers, 5 papers with code
LCD -- Line Clustering and Description for Place Recognition
In this paper, we introduce a novel learning-based approach to place recognition, using RGB-D cameras and line clusters as visual and geometric features.
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning
Mobile manipulation is usually achieved by sequentially executing base and manipulator movements.
VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
Robust and accurate pose estimation is crucial for many applications in mobile robotics.
Robotics
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery
To autonomously navigate and plan interactions in real-world environments, robots require the ability to robustly perceive and map complex, unstructured surrounding scenes.
Robotics
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning
We learn closed-loop policies mapping depth camera inputs to motion commands and compare different approaches to keep the problem tractable, including reward shaping, curriculum learning and using a policy pre-trained on a task with a reduced action set to warm-start the full problem.
Robotics
