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20072025
most citedEfficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components

52 citations · 135 across the 55 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

eess.SP2024

Parameter Estimation on Homogeneous Spaces

Shiraz Khan, Gregory S. Chirikjian

The Fisher Information Metric (FIM) and the associated Cramér-Rao Bound (CRB) are fundamental tools in statistical signal processing, which inform the efficient design of experimen…

cs.RO2024

RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets

Jikai Ye, Wanze Li, Shiraz Khan +1

Cloth state estimation is an important problem in robotics. It is essential for the robot to know the accurate state to manipulate cloth and execute tasks such as robotic dressing,…

cs.RO2024

Grasping by Hanging: a Learning-Free Grasping Detection Method for Previously Unseen Objects

Wanze Li, Wan Su, Gregory S. Chirikjian

This paper proposes a novel learning-free three-stage method that predicts grasping poses, enabling robots to pick up and transfer previously unseen objects. Our method first ident…

cs.RO2024

Design, Calibration, and Control of Compliant Force-sensing Gripping Pads for Humanoid Robots

Yuanfeng Han, Boren Jiang, Gregory S. Chirikjian

This paper introduces a pair of low-cost, light-weight and compliant force-sensing gripping pads used for manipulating box-like objects with smaller-sized humanoid robots. These pa…

math.FA2024

Non-Abelian Fourier Analysis on

Arash Ghaani Farashahi, Gregory S. Chirikjian

This paper presents a systematic study for the general theory of non-Abelian Fourier series of integrable functions on the homogeneous space , where $SE(d…

cs.RO2024

RAIL: Robot Affordance Imagination with Large Language Models

Ceng Zhang, Xin Meng, Dongchen Qi +1

This paper introduces an automatic affordance reasoning paradigm tailored to minimal semantic inputs, addressing the critical challenges of classifying and manipulating unseen clas…

eess.SY2024

Uncertainty Propagation and Bayesian Fusion on Unimodular Lie Groups from a Parametric Perspective

Jikai Ye, Gregory S. Chirikjian

We address the problem of uncertainty propagation and Bayesian fusion on unimodular Lie groups. Starting from a stochastic differential equation (SDE) defined on Lie groups via Mck…