第二届自主机器人技术研讨会召开在即，详细日程抢“鲜”发布

报告题目：

报告摘要：
在过去的几十年里，小型多旋翼无人机 (UAV) 受到了广泛的研究关注。 这些无人机在各种应用中都显示出了巨大的潜力，包括航空摄影、农业、配送、测绘和测量。 然而，要使这些应用取得成功，必须在未知环境中进行自主避障。 在该报告中，我们将讨论如何使用激光雷达来实现自主无人机导航。 具体来说，我们将探索激光雷达技术的最新进展，并重点关注导航算法，包括定位、建图、规划和控制。 我们将展示如何在小型无人机上使用激光雷达传感器来实现复杂的导航任务，例如高速避障、环境探索和敏捷无人机运动估计。

报告人简介：

报告题目：

报告摘要：

With the advance in optimal control and reinforcement learning, latestcontrollers have demonstrated exceptional performance on complex multi- limbedrobots, including the application in aerial manipulation, quadrupedal locomotion,and dexterous hand skills. Despite these advancements, comprehensive safetyvalidation remains a prerequisite for their large-scale real-world deployment.Current state-of-the-art (SOTA) controllers exhibit robustness againststandard testing paradigms, domain randomization, and evaluations by humanexperts. In this talk, I will first introduce our progress on enhancingdexterity of the robots, and then our recent research revealing vulnerabilitiesin long-tested state-of-the-art controllers on the legged locomotion anddexterous manipulation when subjected to minor perturbations generatedby AI agents. This study highlights critical safety concerns and emphasizesthe necessity of addressing these vulnerabilities to enhance system reliability.The failure cases identified in our analysis offer valuable insights intosystem components, providing a foundation for improving the robustnessand safety of black-box neural controllers.

报告人简介：

Fan Shi is an Assistant Professor in National University ofSingapore. Before that, he was a Postdoc Researcher working with Prof.Marco Hutter and Prof. Stelian Coros in ETH Zurich. His research focusedon learning and control for multi-limbed robots in locomotion and manipulation.He obtained his Master and Ph.D. degree from the Univ. of Tokyo supervisedby Prof. Masayuki Inaba, and Bachelor degree from Peking University. Hegot several highly competitive awards, such as the Dean’s Award for hisDoctoral Thesis, IEEE RAS/JJC Young Award in ICRA 2020, AI Safety FinalistAward in Switzerland.

报告题目：

Global Consistency: To be or not to be?

报告摘要：
全局一致是移动机器人定位与建图（SLAM）的关键目标，也是领域多年来的研究热点。 考虑到机器人点到点导航的整个任务，全局一致的定位与建图主要服务于全局规划，进而引导机器人的局部运动规划完成整个导航任务。 因此，本报告尝试从局部运动规划的视角来看待全局一致性，以此为线索介绍课题组从经典导航理论方法，到近年来多模态导航相关工作，探讨全局一致性的角色和必要性 。

报告人简介：
王越，浙江大学控制科学与工程学院教授，近五年来以通讯作者发表Nature Communication、IJRR、TPAMI、TRO、IJCV等期刊论文30多篇，发表RSS、ICRA、IROS等领域顶会30多篇，获ICRA最佳视觉论文奖，IROS最佳设计论文提名等论文奖5次。 担任期刊IEEERobotics and Automation Letters编委、ICRA/IROS编委、Frontiers in Robotics andAI、Electronics邀请编委等。 获中国发明协会创业创新奖二等奖（排名1）等。 主持科技部重点研发计划课题、国家自然科学基金项目等项目，与华为、阿里、中核、航天等企业和研究机构长期合作。