Momentum-Based Topology Estimation of Articulated Objects

08/05/2018
by   Yeshasvi Tirupachuri, et al.
0

Articulated objects like doors, drawers, valves, and tools are pervasive in our everyday unstructured dynamic environments. Articulation models describe the joint nature between the different parts of an articulated object. As most of these objects are passive, a robot has to interact with them to infer all the articulation models to understand the object topology. We present an algorithm to estimate the inherent articulation models by exploiting the momentum of the articulated system and the interaction wrench while manipulating. The proposed algorithm can work with any degrees of freedom objects. We validate our approach with experiments in a simulation environment that is noisy and demonstrate that we can estimate articulation models.

READ FULL TEXT
research
07/19/2023

Object-centric Representations for Interactive Online Learning with Non-Parametric Methods

Large offline learning-based models have enabled robots to successfully ...
research
09/02/2018

Momentum Model-based Minimal Parameter Identification of a Space Robot

Accurate information of inertial parameters is critical to motion planni...
research
11/16/2021

IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects

Utilizing 6DoF(Degrees of Freedom) pose information of an object and its...
research
12/12/2012

Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots

Building models, or maps, of robot environments is a highly active resea...
research
03/30/2020

In-Hand Object-Dynamics Inference using Tactile Fingertips

Having the ability to estimate an object's properties through interactio...
research
02/04/2022

Condensation Jacobian with Adaptivity

We present a new approach that allows large time steps in dynamic simula...
research
06/05/2023

Computational Design of Passive Grippers

This work proposes a novel generative design tool for passive grippers –...

Please sign up or login with your details

Forgot password? Click here to reset