3 citations · 4 across the 9 of their papers we have counts for
5 papers · 1 filter
Temporally Consistent Object 6D Pose Estimation for Robot Control
Kateryna Zorina, Vojtech Priban, Mederic Fourmy +2
Single-view RGB object pose estimators have reached a level of precision and efficiency that makes them good candidates for vision-based robot control. However, off-the-shelf metho…
REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation
Martin Sedlacek, Pavlo Yefanov, Georgy Ponimatkin +7
Vision-Language-Action (VLA) models empower robots to understand and execute tasks described by natural language instructions. However, a key challenge lies in their ability to gen…
Multi-step manipulation task and motion planning guided by video demonstration
Kateryna Zorina, David Kovar, Mederic Fourmy +5
This work aims to leverage instructional video to solve complex multi-step task-and-motion planning tasks in robotics. Towards this goal, we propose an extension of the well-establ…
Visually Guided Model Predictive Robot Control via 6D Object Pose Localization and Tracking
Mederic Fourmy, Vojtech Priban, Jan Kristof Behrens +3
The objective of this work is to enable manipulation tasks with respect to the 6D pose of a dynamically moving object using a camera mounted on a robot. Examples include maintainin…
WOLF: A modular estimation framework for robotics based on factor graphs
Joan Sola, Joan Vallve, Joaquim Casals +5
This paper introduces WOLF, a C++ estimation framework based on factor graphs and targeted at mobile robotics. WOLF can be used beyond SLAM to handle self-calibration, model identi…