3 citations · 7 across the 11 of their papers we have counts for
12 papers
DepthWorld: 3D World Model for Robot Manipulation
Jai Bardhan, Josef Sivic, Vladimir Petrik
World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy evaluation, improvement, and planning. All of these uses depe…
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…
COSMIK-MPPI: Scaling Constrained Model Predictive Control to Collision Avoidance in Close-Proximity Dynamic Human Environments
Ege Gursoy, Maxime Sabbah, Arthur Haffemayer +5
Ensuring safe physical interaction between torque-controlled manipulators and humans is essential for deploying robots in everyday environments. Model Predictive Control (MPC) has…
Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning
Jai Bardhan, Patrik Drozdik, Josef Sivic +1
Action-conditioned robot world models generate future video frames of the manipulated scene given a robot action sequence, offering a promising alternative for simulating tasks tha…
Warm-Starting Collision-Free Model Predictive Control With Object-Centric Diffusion
Arthur Haffemayer, Alexandre Chapin, Armand Jordana +4
Acting in cluttered environments requires predicting and avoiding collisions while still achieving precise control. Conventional optimization-based controllers can enforce physical…
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…
AlignPose: Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
Anna Šárová Mikeštíková, Médéric Fourmy, Martin Cífka +2
Single-view RGB model-based object pose estimation methods achieve strong generalization but are fundamentally limited by depth ambiguity, clutter, and occlusions. Multi-view pose…
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…
PhysPose: Refining 6D Object Poses with Physical Constraints
Martin Malenický, Martin Cífka, Médéric Fourmy +4
Accurate 6D object pose estimation from images is a key problem in object-centric scene understanding, enabling applications in robotics, augmented reality, and scene reconstructio…
6D Object Pose Tracking in Internet Videos for Robotic Manipulation
Georgy Ponimatkin, Martin Cífka, Tomáš Souček +4
We seek to extract a temporally consistent 6D pose trajectory of a manipulated object from an Internet instructional video. This is a challenging set-up for current 6D pose estimat…
FocalPose++: Focal Length and Object Pose Estimation via Render and Compare
Martin Cífka, Georgy Ponimatkin, Yann Labbé +4
We introduce FocalPose++, a neural render-and-compare method for jointly estimating the camera-object 6D pose and camera focal length given a single RGB input image depicting a kno…
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…