讲座报名 | ACE Talk 特邀卡内基梅隆大学系统科学家Ji Zhang与Wenshan Wang,介绍开源自主导航系统

科技   科技   2024-06-12 09:11   北京  


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微软亚洲研究院 ACE Talk 系列讲座旨在邀请杰出的学术新星分享科研成果,为学生与研究员提供相互交流学习与洞悉前沿动态的平台。


第十九期 ACE Talk,我们特别邀请到来自卡内基梅隆大学的系统科学家Ji Zhang Wenshan Wang为我们带来以 “Autonomous Exploration and Navigation, Full Autonomy System, and Beyond” 为主题的报告,将介绍 CMU 团队在全自动系统方面的工作欢迎大家积极报名!


讲座信息



时间6 月 14 日(周五)上午 9:00-10:30

地点:线上

日程

• 嘉宾报告(9:00 - 10:00

• Q&A(10:00-10:30)


报名方式



欢迎扫描下方二维码填写报名问卷,报名成功后将收到邮件通知,邮件中将提供讲座 Teams 线上会议链接。


报名截止时间:6 月 13 日(周四)中午 12:00

报名链接:https://jinshuju.net/f/K3nvIs




嘉宾介绍


Ji Zhang

卡内基梅隆大学

系统科学家




Ji Zhang's research interests are in robotic navigation, spanning localization, mapping, planning, and exploration. His early work on Lidar Odometry and Mapping (LOAM) and the succeeding work leveraging range, vision, and inertial sensing ignited real-time 3D Lidar SLAM. His work ranked #1 on the odometry leaderboard of KITTI Vision Benchmark between 2014 and 2021. He founded Kaarta, Inc, a CMU spin-off commercializing 3D mapping & modeling technologies, and stayed with the company for 4 years as chief scientist. In late 2019, He rejoined CMU as a faculty member and started leading the development of a series of autonomous navigation algorithms. The complete navigation system brought CMU-OSU Team a "Most Sectors Explored Award" on DARPA Subterranean Challenge. He currently holds another role at the National Robotics Engineering Center at CMU and leads a few serious projects.


 Wenshan Wang

卡内基梅隆大学

系统科学家




Wenshan Wang is a Systems Scientist at the Robotics Institute, Carnegie Mellon University. She received her PhD degree from Shanghai Jiao Tong University. Her research interests are applying machine learning to robotic problems and improving the robustness and intelligence of autonomous systems. Her work on off-road driving, autonomous aerial filming, visual SLAM, has pushed the limit of autonomous robots in real-world challenging environments. She organized and hosted a series of workshops about pushing robots' capability in challenging environments, including CVPR 2020 SLAM workshop, ICCV 2023 robot learning workshop, and ICRA 2024 off-road driving workshop. Dr. Wang was a research intern at MSRA in 2017 in the System group.

 

报告简介


Autonomous Exploration and Navigation, Full Autonomy System, and Beyond

In this talk, I will present work on autonomous exploration and introduce our full autonomy system. The work started several years ago from lidar-based state estimation. Building upon the state estimation module, the autonomy system now contains multiple fundamental modules, e.g. collision avoidance, terrain traversability analysis, and waypoint following. At the high level of navigation planning, an exploration planner consisting of a dual-resolution representation guides the robot to cover and map unknown environments. In addition to autonomous exploration, I will showcase another navigation modality, goalpoint navigation, using a simulation demo and briefly discuss the latest extension to AI and vision-language navigation. The series of work has won both the Best Paper Award and Best System Paper Award of RSS 2021, the only time in the history of RSS that one paper collected both major awards, and the Best Student Paper Award of IROS 2022. The extended journal version has recently been published at Science Robotics. Aimed at lowering the bar for everybody to acquire autonomy and make further use of it, our system is open-sourced at cmu-exploration.com.


主持人简介


Ting Cao

微软亚洲研究院

首席研究员


Dr. Ting Cao is a Principal Researcher and Research Manager of the Heterogeneous Extreme Computing Group (HEX) at Microsoft Research. Her research interests include deep learning systems, hardware-software co-design, high-level language implementations, and energy-efficient hardware/software design. Dr. Cao received her PhD from the Research School of Computer Science at the Australian National University. Prior to joining Microsoft, she worked at Huawei's Compiler and Programming Languages Lab, where she led the memory management work for the Ark compiler. She has published papers at top systems venues including MobiCom, MobiSys, ISCA, ASPLOS, PLDI, etc. She has served on program committees for conferences such as PLDI, OOPSLA, and MobiSys. Dr. Cao has been awarded ACM Research Highlights, IEEE Micro Top Picks, ACM SIGMOBILE Research Highlights, as well as best paper awards at ICCD, NAS, and MobiSys.


关于ACE Talk

ACE (Accelerate, Create, Empower) Talk Series epitomizes our commitment across three dimensions. To accelerate the swift adoption of cutting-edge research where researchers and students can share the latest breakthroughs and advancements. To create an environment that nurtures novel ideas and fosters the genesis of innovative solutions to complex problems. At its core, we are dedicated to empowering individuals, including our speakers and audiences to drive positive changes on a broader scale. Through this endeavor, we aspire to enhance global communication and cultivate a diverse academic atmosphere, connecting talented individuals worldwide and ultimately contributing to meaningful change within the academic research community



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