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Timothy Bretl

18 accepted papers

2026

Estimating Force Interactions of Deformable Linear Objects from Their Shapes

ICRA 2026poster

This work introduces an analytical approach for detecting and estimating external forces acting on deformable linear objects (DLOs) using only their observed shapes. In many robot-wire interaction tasks, contact occurs not at the end-effector but at other points along the robot’s body. Such scenario…

2025

Accurate Simulation and Parameter Identification of Deformable Linear Objects using Discrete Elastic Rods in Generalized Coordinates

IROS 2025

This paper presents a fast and accurate model of a deformable linear object (DLO) – e.g., a rope, wire, or cable – integrated into an established robot physics simulator, MuJoCo. Most accurate DLO models with low computational times exist in standalone numerical simulators, which are unable or requi

Cited by 3SourceScholar
2024

Efficient Extrinsic Self-Calibration of Multiple IMUs using Measurement Subset Selection

IROS 2024poster

This paper addresses the problem of choosing a sparse subset of measurements for quick calibration parameter estimation. A standard solution to this is selecting a measurement only if its utility—the difference between posterior (with the measurement) and prior information (without the measurement)—…

Cited by 0SourceScholar
2023

TrackDLO: Tracking Deformable Linear Objects Under Occlusion With Motion Coherence

RA-L 2023

The TrackDLO algorithm estimates the shape of a Deformable Linear Object (DLO) under occlusion from a sequence of RGB-D images. TrackDLO is vision-only and runs in real-time. It requires no external state information from physics modeling, simulation, visual markers, or contact as input. The algorit

Cited by 26SourceScholar
2022

Environment Warped Gait Trajectory Optimization for Complex Terrains

RA-L 2022

Contact-aware gait trajectory optimization is a challenging non-convex programming problem, especially for complex terrain shapes, where prominent numerical algorithms can fail to find a solution or fall into local minima. To alleviate this issue, we propose an environment warping technique that cha

Cited by 2SourceScholar
2022

iCaps: Iterative Category-Level Object Pose and Shape Estimation

RA-L 2022

This letter proposes a category-level 6D object pose and shape estimation approach iCaps, which allows tracking 6D poses of unseen objects in a category and estimating their 3D shapes. We develop a category-level auto-encoder network using depth images as input, where feature embeddings from the aut

Cited by 45SourcecodeScholar
2020

Self-supervised 6D Object Pose Estimation for Robot Manipulation

ICRA 2020poster

To teach robots skills, it is crucial to obtain data with supervision. Since annotating real world data is time-consuming and expensive, enabling robots to learn in a self- supervised way is important. In this work, we introduce a robot system for self-supervised 6D object pose estimation. Starting…

Cited by 239SourceScholar
2019

PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation

RSS 2019poster

Tracking 6D poses of objects from videos provides rich information to a robot in performing different tasks such as manipulation and navigation. In this work, we formulate the 6D object pose tracking problem in the Rao-Blackwellizedparticle filtering framework, where the 3D rotation and the 3D trans…

Cited by 0SourcePDFScholar
2018

Feature-constrained Active Visual SLAM for Mobile Robot Navigation

ICRA 2018poster

This paper focuses on tracking failure avoidance during vision-based navigation to a desired goal in unknown environments. While using feature-based Visual Simultaneous Localization and Mapping (VSLAM), continuous identification and association of map points are required during motion. Thus, we disc…

Cited by 54SourceScholar
2018

Improved Structure from Motion Using Fiducial Marker Matching

ECCV 2018poster

In this paper, we present an incremental structure from motion (SfM) algorithm that significantly outperforms existing algorithms when fiducial markers are present in the scene, and that matches the performance of existing algorithms when no markers are present. Our algorithm uses markers to limit pot…

2018

Motion Planning of Fully Actuated Closed Kinematic Chains With Revolute Joints: A Comparative Analysis

RA-L 2018

This letter provides a comparative analysis of common strategies for sampling-based motion planning of fully actuated closed kinematic chains with revolute joints. Three strategies are reviewed: singularity sampling, swapping between the possible passive chains while using the active-passive chains

Cited by 12SourceScholar
2017

A compliant four-bar linkage mechanism that makes the fingers of a prosthetic hand more impact resistant

ICRA 2017poster

Repeated mechanical failure due to accidental impact is one of the main reasons why people with upper-limb amputations abandon commercially-available prosthetic hands. To address this problem, we present the design and evaluation of a compliant four-bar linkage mechanism that makes the fingers of a…

Cited by 48SourceScholar
2015

Manipulation planning with contacts for an extensible elastic rod by sampling on the submanifold of static equilibrium configurations

ICRA 2015poster

We consider the manipulation planning problem of an extensible elastic rod in collision-free or contact space. We assume the rod can be handled by grippers either at both or at only one of its extremities and during the manipulation, the grasped end may change. We show that the use of both quasi-sta…

Cited by 41SourceScholar
2015

Tact: Design and performance of an open-source, affordable, myoelectric prosthetic hand

ICRA 2015poster

This paper presents the Tact hand—an anthropomorphic, open-source, myoelectric prosthetic hand that was designed for use by people with transradial amputations in developing countries. This hand matches or exceeds the performance of other state-of-the-art myoelectric prosthetic hands, but costs two…

Cited by 133SourceScholar