机器人 / 具身智能

A 2D Surgical Simulation Framework for Tool-Tissue Interaction

Yunhai Han, Fei Liu, Michael C. Yip

专题命中 机器人数据与评测 ：robotic(abstract,comments)；manipulation(abstract)；分类 cs.RO

Comments Accepted by IROS Workshop 2020 (Cognitive Robotic Surgery), 2 pages, 3 figures

Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, Manolis Savva, Sonia Chernova, Dhruv Batra

专题命中 机器人数据与评测 ：navigation(abstract)；分类 cs.RO、cs.AI、cs.CV；robotics(journal_ref)

Journal ref IEEE Robotics and Automation Letters (RA-L) 2020

Object Finding in Cluttered Scenes Using Interactive Perception

Tonci Novkovic, Remi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan Nieto

专题命中 机器人数据与评测 ：robotics(abstract,comments)；robotic(abstract)；分类 cs.RO

Comments IEEE International Conference on Robotics and Automation (ICRA), 2020

Stop, Think, and Roll: Online Gain Optimization for Resilient Multi-robot Topologies

Marco Minelli, Marcel Kaufmann, Jacopo Panerati, Cinara Ghedini, Giovanni Beltrame, Lorenzo Sabattini

专题命中 机器人数据与评测 ：robotic(abstract,journal_ref)；robotics(abstract)；分类 cs.RO

Journal ref Proceedings of the International Symposium on Distributed Autonomous Robotic Systems (DARS), 2018

AMZ Driverless: The Full Autonomous Racing System

Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart

专题命中 机器人数据与评测 ：robotics(abstract,comments)；robotic(abstract)；分类 cs.RO

Comments 40 pages, 32 figures, submitted to Journal of Field Robotics

Domain Randomization for Active Pose Estimation

Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel

专题命中 机器人数据与评测 ：manipulation(abstract)；robotic(abstract)；分类 cs.CV；robotics(comments)

Comments Accepted at International Conference on Robotics and Automation (ICRA) 2019

From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots

Mark Pfeiffer, Michael Schaeuble, Juan Nieto, Roland Siegwart, Cesar Cadena

专题命中 机器人数据与评测 ：navigation(abstract)；robotic(abstract)；分类 cs.RO；robotics(comments)

Comments presented at the IEEE International Conference on Robotics and Automation (ICRA) 2017

Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process

Zicong Fan, Lili Meng, Tian Qi Chen, Jingchun Li, Ian M. Mitchell

专题命中 机器人数据与评测 ：robotics(abstract,comments)；robotic(abstract)；分类 cs.RO

Comments The paper has been accepted to the International Conference on Robotics and Automation (ICRA2018)

Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories

Jaeyong Sung, Ian Lenz, Ashutosh Saxena

专题命中 机器人数据与评测 ：manipulation(abstract)；分类 cs.RO、cs.AI、cs.CV；robotics(comments)

Comments IEEE International Conference on Robotics and Automation (ICRA), 2017

Governable Individuals: An Identity Layer for Embodied Agents That Keep Learning

可治理个体：用于持续学习的具身智能体的身份层

Xue Qin, Simin Luan, Cong Yang, Zhijun Li

专题命中 机器人数据与评测 ：embodied agent(title)

AI总结 研究具身人工智能中持续智能体的治理问题，提出可治理个体概念，其能力可变，权限等只能通过特定签名生命周期转换扩展，经测试发现仅学习判断和行为测试不足，需架构性承载层，还介绍了相关抽象概念、机制及开放问题。

Comments Perspective paper. Companion technical report with proofs and empirical evaluation to be posted separately on arXiv

Control-Aware Manipulation of ArduPilot via Legitimate MAVLink Commands: Simulation and Hardware Validation

通过合法MAVLink命令对ArduPilot进行控制感知操纵：仿真与硬件验证

Feras Benchellal andLotfi Ben Othmane, Yasaswini Konapalli, Cihan Tunc, Bharat Bhargava

专题命中 机器人数据与评测 ：manipulation(title)

AI总结 研究针对ArduPilot无人机的控制感知攻击，通过修改PID增益、改变EKF配置和违反故障安全假设，导致无人机失控坠毁，并在SITL仿真和Pixhawk硬件平台上验证。

Food4All: An Agentic Framework and Benchmark for Food Resource Navigation with Adaptive User Understanding

Food4All: 一种具有自适应用户理解能力的食物资源导航智能体框架与基准

Yiyang Li, Weixiang Sun, Tianyi Ma, Kaiwen Shi, Zheyuan Zhang, Yanfang Ye

机构 * University of Notre Dame（诺特大学） 纠错

专题命中 机器人数据与评测 ：navigation(title)

AI总结 提出Food4All框架，结合食物搜索工具与300个多轮评估任务，在686个印第安纳食物资源上评估六种大语言模型，诊断其在约束条件处理和非理想用户交互中的不足。

Comments We have further refined the benchmark construction and experimental presentation to improve clarity and consistency. The revised version includes updated task design, food-resource data, and evaluation details to better align the benchmark with the intended food resource referral setting. These changes provide a more precise presentation of the experimental findings

Joint Communication and Computation Design for Mobile Embodied AI Network (MEAN)

移动具身人工智能网络（MEAN）的联合通信与计算设计

Chenliang Wu, Zhouxiang Zhao, Jiaxiang Wang, Ruopeng Xu, Chen Zhu, Zhaohui Yang, Zhaoyang Zhang

专题命中 机器人数据与评测 ：embodied AI(title)

AI总结 本文研究了移动具身人工智能网络在无线通信中的能量高效协作策略，通过双模式协作框架优化计算、通信和任务执行能耗，提出低复杂度枚举算法降低总能耗。

Real-world models for multiple term structures: a unifying HJM semimartingale framework

现实世界中多个期限结构的模型：一种统一的HJM半鞅框架

Claudio Fontana, Eckhard Platen, Stefan Tappe

专题命中 机器人数据与评测 ：world model(title)

AI总结 本文提出一种统一的HJM半鞅框架，用于建模金融、保险和能源市场中的多个期限结构，研究市场可行性并刻画局部鞅折价器集合，分析相关的随机偏微分方程（SPDE）的解的存在性和唯一性、不变性及仿射实现的存在性。

Comments 47 pages

How to Capture Human Preference: Commissioning of a Robotic Use-Case via Preferential Bayesian Optimisation

如何捕捉人类偏好：通过偏好贝叶斯优化委托一个机器人用例

Sander De Witte, Jeroen Taets, Andras Retzler, Guillaume Crevecoeur, Tom Lefebvre

专题命中 机器人数据与评测 ：robotic(title)

AI总结 本文提出通过偏好贝叶斯优化解决机器人任务委托问题，展示其在专家偏好反馈下的有效性，并证明辅助成本函数在决策一致性上的优势。

Real-World Modeling of Computation Offloading for Neural Networks with Early Exits and Splits

Jan Danek, Zdenek Becvar, Adam Janes

专题命中 机器人数据与评测 ：world model(title)

Comments 6 pages, 8 figures, This work has been submitted to IEEE GLOBECOM 2025 for peer review

SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions

Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam

专题命中 机器人数据与评测 ：navigation(title)

Comments Findings of EMNLP 2024

Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue

Jonathan Ivey, Shivani Kumar, Jiayu Liu, Hua Shen, Sushrita Rakshit, Rohan Raju, Haotian Zhang, Aparna Ananthasubramaniam, Junghwan Kim, Bowen Yi, Dustin Wright, Abraham Israeli, Anders Giovanni Møller, Lechen Zhang, David Jurgens

专题命中 机器人数据与评测 ：robotic(title)

Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation

Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan

专题命中 机器人数据与评测 ：manipulation(title)

Comments Preprint, under review

Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay

Yi Ju, Teng Zeng, Zaid Allybokus, Scott Moura

专题命中 机器人数据与评测 ：robotic(title)

Journal ref IEEE Transactions on Smart Grid

Theoretical simulation and experimental verification of dynamic caustic manipulation using a deformable mirror for laser material processing

Marco Smarra, Evgeny L. Gurevich, Andreas Ostendorf

专题命中 机器人数据与评测 ：manipulation(title)

Journal ref Journal of Optics & Laser Technology, 149, 107814 (2022)

Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach

Nicola Milano, Stefano Nolfi

专题命中 机器人数据与评测 ：embodied agent(title)

Evaluation of Three Nonlinear Control Methods to Reject the Constant Bounded Disturbance for Robotic Manipulators

Amir. A. Ghavifekr, Saeed Pezeshki, Arash Arjmandi

专题命中 机器人数据与评测 ：robotic(title)

Comments Majlesi Journal of Mechatronic Systems-2012

A Hybrid Compact Neural Architecture for Visual Place Recognition

Marvin Chancán, Luis Hernandez-Nunez, Ajay Narendra, Andrew B. Barron, Michael Milford

专题命中 机器人数据与评测 ：navigation(abstract)；robotics(comments,journal_ref)；分类 cs.RO、cs.CV、cs.LG

Comments Preprint version of article published in IEEE Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 993-1000, April 2020

Boundary stabilization of systems of high order PDEs arising from flexible robotics

Andrea Cristofaro, Francesco Ferrante

专题命中 机器人数据与评测 ：robotics(title)

Improved Tactile Resonance Sensor for Robotic Assisted Surgery

David Oliva Uribe, Johan Schoukens, Ralf Stroop

专题命中 机器人数据与评测 ：robotic(title)

Comments 16 pages

Journal ref published in Mechanical Systems and Signal Processing 2018

Artificial Intelligence-Based Techniques for Emerging Robotics Communication: A Survey and Future Perspectives

S. H. Alsamhi, Ou Ma, M. S. Ansari

专题命中 机器人数据与评测 ：robotics(title)

Comments 11 pages, 6 figures

Patterns, transitions and the role of leaders in the collective dynamics of a simple robotic flock

Norbert Tarcai, Csaba Virágh, Dániel Ábel, Máté Nagy, Péter L. Várkonyi, Gábor Vásárhelyi, Tamás Vicsek

专题命中 机器人数据与评测 ：robotic(title)

Comments 24 pages, 17 figures, 3 tables

Journal ref Journal of Statistical Mechanics: Theory and Experiment 2011 P04010

Gripper-aware Vision Language Action Models

感知夹具的视觉语言动作模型

Hanyi Zhang, Zihong Luo, Tianyu Li, Khang Nguyen, Basu Hela, Shreyas Kumar, Ngoc Duy Tran, Feng Dai, Charith Munasinghe, Jorge Peña Queralta, Giovanni Toffetti, Khoa Vo, Ngan Le, Ravi Prakash, Quan Vuong, Tung D. Ta, Long Hu, Anh Nguyen, Baoru Huang

机构 * University of Liverpool（利物浦大学） ； Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） ； Indian Institute of Science（印度科学学院） ； The University of Tokyo（东京大学） ； Zürcher Hochschule für Angewandte Wissenschaften（苏黎世应用科技大学） ； University of Arkansas（阿肯色大学） ； Physical Intelligence（物理智能公司） ； Huazhong University of Science and Technology（华中科技大学） 纠错

专题命中 机器人数据与评测 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

AI总结 针对现有视觉语言动作模型（VLA）忽略夹具差异的问题，提出多夹具感知数据集MiGA与结合多夹具分词器及适配器策略路由的GVLA，实验显示其性能优于基线且泛化与适应能力更强。

NeoWorld-Pro: Programming Interactive Scenes from Monocular Images for Embodied Simulation

NeoWorld-Pro：从单目图像编程交互式场景以实现具身仿真

Yumeng He, Yichen Song, Xiaotian Yang, Weijia Zhang, Zanwei Zhou, Junru Gong, Xiaokang Yang, Yunbo Wang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Huazhong University of Science and Technology（华中科技大学） 纠错

专题命中 机器人数据与评测 ：embodied AI(abstract)；manipulation(abstract)；分类 cs.CV

AI总结 针对具身AI中图像转仿真场景的物理与交互性不足问题，提出NeoWorld-Pro框架，通过MLLMs将单目图像转为可执行程序，结合物理在环机制优化，性能优于现有方法并支持复杂下游任务。