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20232026
most citedData-Driven Batch Localization and SLAM Using Koopman Linearization

4 citations · 9 across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

Observability-Informed Optimal Sensor Placement for Soft Robots

Samuel Smocot, James Richard Forbes, Audrey Sedal

This paper presents the application and experimental evaluation of a systematic method for optimal sensor placement in soft robots. Existing methods either lack generalizability ac…

cs.RO2026

Range-Aided SLAM Initialization Exploiting Accurate Heading Information

Isabel Lougheed, James Richard Forbes

This paper presents a novel initialization method for range-aided simultaneous localization and mapping (RA-SLAM). The general SLAM problem has a well-known separable structure whe…

cs.RO2026

Extending Ground-Constraint LiDAR-IMU Calibration to Tilted Surfaces in a Continuous-Time Framework

Vassili Korotkine, Pierre Chamoun, Mohammed Ayman Shalaby +1

This paper presents a novel method that extends targetless LiDAR-IMU calibration for ground vehicles to non- flat environments. Calibration typically necessitates full exci- tation…

eess.SY2026

A Passivity-Based Analysis of First-Order Momentum-Based Methods

Sepehr Moalemi, James Richard Forbes

This paper presents a discrete-time passivity-based analysis of first-order momentum-based methods for a class of functions whose gradient has lower and upper sector bounds of …

cs.RO2026

D-CLIPSE: Distributed Consensus-based Localization with Passive Listening on Shared State Exchange

Kyle Biron-Gricken, James Richard Forbes

Multi-robot localization that is accurate and consistent is imperative for downstream tasks such as planning and control. Centralized filtering approaches optimally fuse all availa…

cs.RO2026

DIVO: Continuous-time DVL-Inertial-Visual Odometry for Unmanned Underwater Vehicles

Kyungmin Jung, Angad Bajwa, Junha Yoo +2

This paper presents a novel acoustic-visual-inertial odometry solution leveraging a continuous-time trajectory estimation framework for unmanned underwater vehicles. Underwater env…