paper-with-me

Papers

Designing and Validating a Self-Aligning Tool Changer for Modular Reconfigurable Manipulation Robots

2026-03-05 · Mahfudz Maskur, Takuya Kiyokawa, Kensuke Harada arxiv

Modular reconfigurable robots require reliable mechanisms for automated module exchange, but conventional rigid active couplings often fail due to inevitable positioning and orientational errors. To address this, we propose a misalignment-tolerant tool-changing system. The hardware features a motor-driven coupling utilizing passive self-alignment geometries, specifically chamfered receptacles and triangular lead-in guides, to robustly compensate for angular and lateral misalignments without complex force sensors. To make this autonomous exchange practically feasible, the mechanism is complemented by a compact rotating tool exchange station for efficient module storage. Real-world autonomous tool-picking experiments validate that the self-aligning features successfully absorb execution errors, enabling highly reliable robotic tool reconfiguration.

📄 PDF Abstract BibTeX arXiv:2603.04760

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines

2023-11-12 · Genoveva Vargas-Solar, Tania Cerquitelli, Javier A. Espinosa-Oviedo, François Cheval 외

This paper proposes a conversational approach implemented by the system Chatin for driving an intuitive data exploration experience. Our work aims to unlock the full potential of data analytics and artificial intelligenc…

Changer: Feature Interaction is What You Need for Change Detection

2022-09-17 · Sheng Fang, Kaiyu Li, Zhe Li

Change detection is an important tool for long-term earth observation missions. It takes bi-temporal images as input and predicts "where" the change has occurred. Different from other dense prediction tasks, a meaningful…

Building change detection for remote sensing imagesChange DetectionEarth Observation

GAM Changer: Editing Generalized Additive Models with Interactive Visualization

2021-12-06 · Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella 외

Recent strides in interpretable machine learning (ML) research reveal that models exploit undesirable patterns in the data to make predictions, which potentially causes harms in deployment. However, it is unclear how we …

Additive modelsInterpretable Machine Learning

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

2022-06-30 · Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella 외

Machine learning (ML) interpretability techniques can reveal undesirable patterns in data that models exploit to make predictions--potentially causing harms once deployed. However, how to take action to address these pat…

Additive modelsBIG-bench Machine LearningModel Editing

Cleaning Schedule Optimization of Heat Exchanger Networks Using Particle Swarm Optimization

2015-12-02 · Totok R. Biyanto, Sumitra Wira Suganda, Matraji, Yerry Susatio 외

Oil refinery is one of industries that require huge energy consumption. The today technology advance requires energy saving. Heat integration is a method used to minimize the energy comsumption though the implementation …