activity
20182024
most citedConvex Iteration for Distance-Geometric Inverse Kinematics

30 citations · 99 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2024

GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation

Ivan Bilić, Filip Marić, Fabio Bonsignorio +1

In autonomous robotics, measurement of the robot's internal state and perception of its environment, including interaction with other agents such as collaborative robots, are essen…

cs.RO2023

Euclidean Equivariant Models for Generative Graphical Inverse Kinematics

Oliver Limoyo, Filip Marić, Matthew Giamou +3

Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for robotic manipulation. Existing numerical solvers typically produce a singl…

cs.RO2023★ 1 cited

CIDGIKc: Distance-Geometric Inverse Kinematics for Continuum Robots

Hanna Jiamei Zhang, Matthew Giamou, Filip Marić +2

The small size, high dexterity, and intrinsic compliance of continuum robots (CRs) make them well suited for constrained environments. Solving the inverse kinematics (IK), that is…

cs.RO2022★ 13 cited

Generative Graphical Inverse Kinematics

Oliver Limoyo, Filip Marić, Matthew Giamou +3

Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for many robot manipulators. Existing numerical solvers are broadly applicable…

cs.RO2021★ 30 cited

Convex Iteration for Distance-Geometric Inverse Kinematics

Matthew Giamou, Filip Marić, David M. Rosen +4

Inverse kinematics (IK) is the problem of finding robot joint configurations that satisfy constraints on the position or pose of one or more end-effectors. For robots with redundan…

cs.RO2021★ 5 cited

Riemannian Optimization for Distance-Geometric Inverse Kinematics

Filip Marić, Matthew Giamou, Adam W. Hall +3

Solving the inverse kinematics problem is a fundamental challenge in motion planning, control, and calibration for articulated robots. Kinematic models for these robots are typical…

cs.RO2020

Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion

Filip Marić, Matthew Giamou, Ivan Petrović +1

The majority of inverse kinematics (IK) algorithms search for solutions in a configuration space defined by joint angles. However, the kinematics of many robots can also be describ…

cs.RO2019★ 17 cited

Inverse Kinematics for Serial Kinematic Chains via Sum of Squares Optimization

Filip Maric, Matthew Giamou, Soroush Khoubyarian +2

Inverse kinematics is a fundamental problem for articulated robots: fast and accurate algorithms are needed for translating task-related workspace constraints and goals into feasib…

cs.RO2019★ 18 cited

Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization

Filip Marić, Oliver Limoyo, Luka Petrović +3

A significant challenge in manipulation motion planning is to ensure agility in the face of unpredictable changes during task execution. This requires the identification and possib…

cs.CV2019

Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal Rotation Averaging

Matthew Giamou, Filip Maric, Valentin Peretroukhin +1

Estimating unknown rotations from noisy measurements is an important step in SfM and other 3D vision tasks. Typically, local optimization methods susceptible to returning suboptima…

cs.RO2018★ 15 cited

Self-Calibration of Mobile Manipulator Kinematic and Sensor Extrinsic Parameters Through Contact-Based Interaction

Oliver Limoyo, Trevor Ablett, Filip Marić +2

We present a novel approach for mobile manipulator self-calibration using contact information. Our method, based on point cloud registration, is applied to estimate the extrinsic t…