Fast and robust iterative closest point
The iterative closest point (ICP) algorithm and its variants are a fundamental technique for
rigid registration between two point sets, with wide applications in different areas from …
rigid registration between two point sets, with wide applications in different areas from …
Learning to estimate 3D human pose and shape from a single color image
This work addresses the problem of estimating the full body 3D human pose and shape from
a single color image. This is a task where iterative optimization-based solutions have …
a single color image. This is a task where iterative optimization-based solutions have …
A micro Lie theory for state estimation in robotics
A Lie group is an old mathematical abstract object dating back to the XIX century, when
mathematician Sophus Lie laid the foundations of the theory of continuous transformation …
mathematician Sophus Lie laid the foundations of the theory of continuous transformation …
Add: Analytically differentiable dynamics for multi-body systems with frictional contact
We present a differentiable dynamics solver that is able to handle frictional contact for rigid
and deformable objects within a unified framework. Through a principled mollification of …
and deformable objects within a unified framework. Through a principled mollification of …
3d-prnn: Generating shape primitives with recurrent neural networks
The success of various applications including robotics, digital content creation, and
visualization demand a structured and abstract representation of the 3D world from limited …
visualization demand a structured and abstract representation of the 3D world from limited …
Repose: Fast 6d object pose refinement via deep texture rendering
We present RePOSE, a fast iterative refinement method for 6D object pose estimation. Prior
methods perform refinement by feeding zoomed-in input and rendered RGB images into a …
methods perform refinement by feeding zoomed-in input and rendered RGB images into a …
Continuous-time visual-inertial odometry for event cameras
Event cameras are bioinspired vision sensors that output pixel-level brightness changes
instead of standard intensity frames. They offer significant advantages over standard …
instead of standard intensity frames. They offer significant advantages over standard …
Unsupervised depth completion from visual inertial odometry
We describe a method to infer dense depth from camera motion and sparse depth as
estimated using a visual-inertial odometry system. Unlike other scenarios using point clouds …
estimated using a visual-inertial odometry system. Unlike other scenarios using point clouds …
Event-based, direct camera tracking from a photometric 3d map using nonlinear optimization
Event cameras are novel bio-inspired vision sensors that output pixel-level intensity
changes, called “events”, instead of traditional video images. These asynchronous sensors …
changes, called “events”, instead of traditional video images. These asynchronous sensors …
Unified force-impedance control
S Haddadin, E Shahriari - The International Journal of …, 2024 - journals.sagepub.com
Unified force-impedance control (UFIC) aims at integrating the advantages of impedance
control and force control. Compliance and exact force regulation are equally important …
control and force control. Compliance and exact force regulation are equally important …