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Chen Peng

5 accepted papers

2025

Efficient and Safe Trajectory Planning for Autonomous Agricultural Vehicle Headland Turning in Cluttered Orchard Environments

RA-L 2025

Autonomous agricultural vehicles (AAVs), including field robots and autonomous tractors, are becoming essential in modern farming by improving efficiency and reducing labor costs. A critical task in AAV operations is headland turning between crop rows. This task is challenging in orchards with limit

Cited by 7SourceScholar
2025

Inspiring External Human-Machine Interface Designs for Autonomous Personal Mobility Vehicle: Causal Discovering the Influence of Passengers' Personality Traits on User Experience

IROS 2025

As autonomous personal mobility vehicles (APMVs) are increasingly integrated into shared spaces, short-distance interactions between pedestrians and APMVs will become more frequent. To facilitate communication in shared spaces, APMVs equipped with external human-machine interfaces (eHMIs). Although

Cited by 0SourceScholar
2025

Optimal Scheduling of a Dual-Arm Robot for Efficient Strawberry Harvesting in Plant Factories

IROS 2025

Plant factory cultivation is widely recognized for its ability to optimize resource use and boost crop yields. To further increase the efficiency in these environments, we propose a mixed-integer linear programming (MILP) framework that systematically schedules and coordinates dual-arm harvesting ta

Cited by 1SourceScholar
2024

Graph Identification and Upper Confidence Evaluation for Causal Bandits with Linear Models

ICASSP 2024accepted

In this paper, the causal bandit problem is investigated, in which the objective is to select an optimal sequence of interventions on nodes in a graph. By exploiting the causal relationships between the nodes whose signals contribute to the reward, interventions are optimized. First, a method to lea…

Cited by 0SourceScholar