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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Chen Chen

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Open access Oct 2026

PaE:Adeep reinforcement learning-based two-level online solution for uncertain moving-target traveling salesman problems

This paper investigates an uncertain Moving-Target Traveling Salesman Problem (MT-TSP), in which the future motion trajectories of targets are uncertain. The objective is to maximize the number of visited targets within a bounded region while minimizing the total travel distance. To address the challenges introduce...

Zhao Zhang, Yi-Han Zhong, Chen Chen et al. · 0 citations
Preprint Sep 2026

Human-Human&Human-Robot Interaction Transformer (H2INT) for Robot Navigation in Dense and Uncertain Crowds

Safe robot navigation in dense crowds requires reasoning about pedestrian motion and how it may change in response to a robot. However, many learning-based approaches generate pedestrian motion independently of the robot or assume uniform reciprocity, omitting an important source of interaction uncertainty. This paper...

Ao Shen, Kai-Xi Chen, Shi-Wei Liu et al. · 0 citations
Open access Aug 2026

Indicator-Based Artificial Bee Colony Algorithm for Solving a Bi-objective Moving-Target Traveling Salesman Problem with Uncertainty

This paper investigates a novel bi-objective moving-target traveling salesman problem with uncertainty, where the target trajectories are uncertain, and proposes an Indicator-based Artificial Bee Colony (I-ABC) algorithm to efficiently approximate the Pareto front.

Zhao Zhang, Yihan Zhong, Chen Chen et al. · 0 citations

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