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Xiaobo Tan

9 accepted papers

2026

AFT: Appearance-Based Feature Tracking for Markerless and Training-Free Shape Reconstruction of Soft Robots

RA-L 2026

Accurate shape reconstruction is essential for precise control and reliable operation of soft robots. Compared to sensor-based approaches, vision-based methods offer advantages in cost, simplicity, and ease of deployment. However, existing vision-based methods often rely on complex camera setups, sp

Cited by 1SourceScholar
2024

Back-Stepping Experience Replay With Application to Model-Free Reinforcement Learning for a Soft Snake Robot

RA-L 2024

In this letter, we propose a novel technique, Back-stepping Experience Replay (BER), that is compatible with arbitrary off-policy reinforcement learning (RL) algorithms. BER aims to enhance learning efficiency in systems with approximate reversibility, reducing the need for complex reward shaping. T

Cited by 7SourceScholar
2020

A Novel Pneumatic Soft Snake Robot Using Traveling-Wave Locomotion in Constrained Environments

RA-L 2020

In this paper we propose a novel pneumatic soft snake robot which exploits traveling-wave motion to move in complex, constrained environments such as a pipeline. The robot is modular, with a unique pneumatic system design that requires the use of only four air channels regardless of the number of mo

Cited by 84SourceScholar
2020

Active Alignment Control-based LED Communication for Underwater Robots

IROS 2020poster

Achieving and maintaining line-of-sight (LOS) is challenging for underwater optical communication systems, especially when the underlying platforms are mobile. In this work, we propose and demonstrate an active alignment controlbased LED-communication system that uses the DC value of the communicati…

Cited by 11SourceScholar
2020

Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes

IROS 2020poster

We consider a scenario in which an autonomous vehicle equipped with a downward facing camera operates in a 3D environment and is tasked with searching for an unknown number of stationary targets on the 2D floor of the environment. The key challenge is to minimize the search time while ensuring a hig…

Cited by 8SourceScholar
2019

Local Koopman Operators for Data-Driven Control of Robotic Systems

RSS 2019poster

This paper presents a data-driven methodology for linear embedding of nonlinear systems. Utilizing structural knowledge of general nonlinear dynamics, the authors exploit the Koopman operator to develop a systematic, data-driven approach for constructing a linear representation in terms of higher or…

Cited by 109SourcePDFScholar
2019

Randomized Sensor Selection for Nonlinear Systems With Application to Target Localization

RA-L 2019

Given a nonlinear dynamical system, this letter considers the problem of selecting a subset of the total set of sensors that has provable guarantees on standard metrics related to the nonlinear observability Gramian. The key contribution is a simple randomized algorithm that samples the sensors unif

Cited by 12SourceScholar
2015

Autonomous sampling of water columns using gliding robotic fish: Control algorithms and field experiments

ICRA 2015poster

Gliding robotic fish, a hybrid of underwater gliders and robotic fish, are energy-efficient and highly maneuverable, and hold strong promise for long-duration sampling of underwater environments. In this paper a novel systematic autonomous water-column-based sampling scheme for gliding robotic fish…

Cited by 14SourceScholar