AI Agent

AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK

AeroGen：通过单次结构提示与无人机SDK实现代理无人机自主性

Kautuk Astu, Yogesh Simmhan

专题命中 工具调用 ：agentic(title)

AI总结 本文提出AeroGen框架，通过结构化提示和AeroDaaS SDK实现无人机自主控制程序的可靠生成，验证了其在多种环境下的有效性。

RPT*: Global Planning with Probabilistic Terminals for Target Search in Complex Environments

RPT*: 带概率终端的全局规划用于复杂环境中的目标搜索

Yunpeng Lyu, Chao Cao, Ji Zhang, Howie Choset, Zhongqiang Ren

机构 * Global College, Shanghai Jiao Tong University（上海交通大学全球学院） ； Robotics Institute, Carnegie Mellon University（卡内基梅隆大学机器人研究所） 纠错

专题命中 工具调用 ：planning(title)

AI总结 RPT*通过动态规划和新启发式方法解决复杂环境中的目标搜索问题，实现最优路径规划与高效探索的平衡。

Agentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN

Abdelaziz Salama, Mohammed M. H. Qazzaz, Zeinab Nezami, Maryam Hafeez, Syed Ali Raza Zaidi

专题命中 工具调用 ：agentic(title)

Emotional Multifaceted Feedback on AI Tool Use in EFL Learning Initiation: Chain-Mediated Effects of Motivation and Metacognitive Strategies in an Optimized TAM Model

Le Yao, Yantong Liu

专题命中 工具调用 ：tool use(title)

Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning

Jan-Hendrik Ewers, Sarah Swinton, David Anderson, Euan McGookin, Douglas Thomson

专题命中 工具调用 ：planning(title)

Comments Submitted to IROS 2024

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search

John Lathrop, Benjamin Rivi`ere, Jedidiah Alindogan, Soon-Jo Chung

专题命中 工具调用 ：planning(title)

Comments Presented at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems

VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework

Chris Kelly, Luhui Hu, Bang Yang, Yu Tian, Deshun Yang, Cindy Yang, Zaoshan Huang, Zihao Li, Jiayin Hu, Yuexian Zou

专题命中 工具调用 ：agent(title)

Comments 17 pages, 5 figures, and 1 table. arXiv admin note: substantial text overlap with arXiv:2311.10125

Quantum Search Approaches to Sampling-Based Motion Planning

Paul Lathrop, Beth Boardman, Sonia Martínez

专题命中 工具调用 ：planning(title)

Comments 15 pages, 11 figures

Journal ref IEEE Access, vol. 11, pp. 89506-89519, 2023

Probabilistic Planning for Maritime Search and Rescue

Luís Marques, Jose Javier Escribano Macias, Panagiotis Angeloudis

专题命中 工具调用 ：planning(title)

Comments 4 pages. 3 figures. To appear in 6th International Conference on Dynamics of Disasters (DOD 2023)

DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization

Lizhou Fan, Sara Lafia, Lingyao Li, Fangyuan Yang, Libby Hemphill

专题命中 工具调用 ：agent(title)

Comments 6 pages, 2 figures, and 1 table. Accepted to the 86th Annual Meeting of the Association for Information Science & Technology

Simulation Analysis of Exploration Strategies and UAV Planning for Search and Rescue

Phuoc Nguyen Thuan, Jorge Peña Queralta, Tomi Westerlund

专题命中 工具调用 ：planning(title)

Decentralized Search and Track with Multiple Autonomous Agents

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides, Christos G. Panayiotou, Marios M. Polycarpou

专题命中 工具调用 ：autonomous agent(title)

Journal ref 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019, pp. 909-915

Search-Based Path Planning Algorithm for Autonomous Parking:Multi-Heuristic Hybrid A*

Jihao Huang, Zhitao Liu, Xuemin Chi, Feng Hong, Hongye Su

专题命中 工具调用 ：planning(title)

SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use

H. J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake

专题命中 工具调用 ：tool use(title)

Comments Submitted to Robosoft 2022

ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis

Rajas Bansal, Shreshth Tuli, Rohan Paul, Mausam

专题命中 工具调用 ：tool use(title)

Comments Advances & Challenges in Imitation Learning for Robotics Workshop in Robotics Science and Systems (RSS) 2020. The first two authors contributed equally

A good body is all you need: avoiding catastrophic interference via agent architecture search

Joshua Powers, Ryan Grindle, Lapo Frati, Josh Bongard

专题命中 工具调用 ：agent(title)

Comments arXiv admin note: text overlap with arXiv:1910.07487

Search-based Kinodynamic Motion Planning for Omnidirectional Quadruped Robots

Pei Wang, Xiaoyu Zhou, Qingteng Zhao, Jun Wu, Qiuguo Zhu

专题命中 工具调用 ：planning(title)

Comments 7 pages

Anticipatory Human-Robot Path Planning for Search and Rescue

Barnabas Gavin Cangan, Larkin Heintzman, Amanda Hashimoto, Nicole Abaid, Ryan K. Williams

专题命中 工具调用 ：planning(title)

Comments IROS 2019 - Workshop on Informed Scientific Sampling in Large-scale Outdoor Environments

The Birkhoff Diamond as Double Agent

James A. Tilley

专题命中 工具调用 ：agent(title)

Comments 10 pages, 5 figures; earlier version of an article that has since been retitled to "Kempe-locking configurations" and submitted in revised form to and accepted by Mathematics for a special issue on graph theory

Say Hi to Eliza. An Embodied Conversational Agent on the Web

Gerard Llorach, Josep Blat

专题命中 工具调用 ：agent(title)

Comments 4 Pages, 1 figure, 17th International Conference Intelligence Virtual Agents (IVA)

Current status of MCNP6 as a simulation tool useful for space and accelerator applications

S. G. Mashnik, J. S. Bull, H. G. Hughes, R. E. Prael, A. J. Sierk

专题命中 工具调用 ：tool use(title)

Comments 4 pages, 3 figures, Proc. 11th Conference on the Intersections of Particle and Nuclear Physics (CIPANP 2012), St. Petersburg, FL, May 28 - June 3, 2012

IntelligentWeb Agent for Search Engines

Avinash N Bhute, B. B. Meshram

专题命中 工具调用 ：agent(title)

Comments 5 pages. International Conference on Trends and Advances in Computation and Engineering TRACE -2010. arXiv admin note: text overlap with arXiv:1205.2891 by other authors

Intelligent Agent Based Semantic Web in Cloud Computing Environment

Debajyoti Mukhopadhyay, Manoj Sharma, Gajanan Joshi, Trupti Pagare, Adarsha Palwe

专题命中 工具调用 ：agent(title)

Comments 10 pages, 10 figures

GEO-Flag: Detecting and Measuring GEO-Optimized Web Content

GEO-Flag：检测与测量经GEO优化的网页内容

Junjie Chu, Ye Leng, Mingjie Li, Yun Shen, Xinyue Shen, Yang Zhang

机构 * CISPA Helmholtz Center for Information Security（CISPA亥姆霍兹信息安全中心） ； HPE（慧与科技） ； University of Waterloo（滑铁卢大学） 纠错

专题命中 工具调用 ：agent(abstract,abstract_cn)；分类 cs.LG

AI总结 本研究针对生成式引擎优化（GEO）网页检测不足的问题，构建GEOFlagBench基准，提出干预配对训练（IPT）方法，开发GEO门控智能体系统，还部署流程测量出GEO总体流行率为8.90%。

Comments 21 pages, 3 figures, 21 tables

DREvo: Distilling Recalibrated Historical Experience for Harness Self-Evolution

DREvo：提炼重校准的历史经验以实现工具链自主进化

Hanghui Guo, Weijie Shi, Zhangze Chen, Shengxiang Xu, Yishu Wang, Yimei Zhang, Wangze Ni, Jia Zhu, Shimin Di

专题命中 工具调用 ：agent(abstract)；agentic(abstract)；分类 cs.LG

AI总结 针对现有工具链自主进化方法的两个局限，提出DREvo方法，通过整合三项技术提升进化稳定性，在五个基准上取得最优准确率，在两类任务上较基线实现显著性能提升。

Comments 9 pages

Mitigating Context Interference for Reliable and Efficient Search Agents

缓解可靠高效搜索智能体的上下文干扰

Boyang Xue, Bin Wu, Shuofei Qiao, Sheng Wang, Rui Wang, Yiming Du, Hongru Wang, Jeff Z. Pan, Emine Yilmaz, Kam-Fai Wong, Aldo Lipani

机构 * The Chinese University of Hong Kong（香港中文大学） ； University College London（伦敦大学学院） ； Zhejiang University（浙江大学） ； The University of Hong Kong（香港大学） ； The University of Edinburgh（爱丁堡大学） 纠错

专题命中 工具调用 ：agent(abstract)；AI agent(abstract)；分类 cs.CL

AI总结 本文针对多轮搜索智能体的上下文干扰问题，提出基于蒸馏的上下文优化器，将其纳入RL训练后可显著提升搜索智能体的可靠性与效率，开创了AI智能体“先优化上下文再生成”的新范式。

CognixShield: PoV-Guided Vulnerable API Usage Detection in Large Codebases via LLMs

CognixShield：基于LLM的、面向大型代码库的PoV引导式漏洞API使用检测

Quanzhi Fu, Wang Lingxiang, Wenjia Song, Gelei Deng, Yi Liu, Dan Williams, Ying Zhang

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)；分类 cs.SE

AI总结 CognixShield是一款LLM驱动的框架，通过保留语义的AST碎片化、感知漏洞的多智能体RAG、PoV引导的语义推理三个核心组件，在57个Java应用上实现了优于现有工具的漏洞API使用检测性能。

Comments accepted in ESEM 2026

The Bitter Lesson of Tool Calling

工具调用的惨痛教训

Ishan Patel, Sahil Sen, Elias Lumer, Vamse Kumar Subbiah

专题命中 工具调用 ：agent(abstract)；tool use(abstract)；分类 cs.CL

AI总结 本研究在BFCL v4上对比14种模型的程序化工具调用与JSON工具调用，发现程序化工具调用在多数场景下性能更优且鲁棒性更强，是可行的替代方案。

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation

Magnet：通过能力累积检测跨会话的AI滥用

Natalie Isak, Matthew Dressman

专题命中 工具调用 ：agent(abstract)；agentic(abstract)；分类 cs.AI

AI总结 该研究针对AI集成体的跨会话滥用风险，提出Magnet方法，通过聚合跨会话累积的相关能力来检测此类滥用，填补了现有单会话检测的缺口。

SearchMaster: Grounded and Regulated Self-Play for Search Agents

SearchMaster：面向搜索智能体的基于接地与调控的自博弈框架

Wentao Tan, Qiong Cao, Jiaqi Wang, Nan Duan

专题命中 工具调用 ：agent(abstract)；tool use(abstract)；分类 cs.AI

AI总结 本文提出SearchMaster自博弈框架，通过ECG、SDR、OOP三项调控措施优化LLM搜索智能体训练，在六个深度搜索基准上显著提升Qwen3.5-9B模型的平均准确率，无需人工标注数据。