Tartan SLAM Series

An interactive series of talks, tutorials, and learning on SLAM

General Information

The goal of this series is to expand the understanding of those both new and experienced with SLAM. Sessions will include research talks, as well as introductions to various themes of SLAM and thought provoking open-ended discussions. This is the inaugural series in the lineup of events aiming to foster fun, provocative discussions on robotics.

You can add the schedule to your Google calendar here or iCal here.

Sign up here to receive email updates and reminders about the presentations.

Join our Discord server here, where we occasionally attend to Q&A’s regarding SLAM while also providing resources on SLAM. Through this discord, we aim to foster a fun and inclusive learning community for SLAM. If you are an expert or newcomer, we invite you to join the discord server to build the community.

Event Format: 40 min Talk & 20 min Open-ended Discussion

Schedule

Presenter Session Title Date/Time YouTube Link

Sebastian Scherer

Associate Research Professor

Carnegie Mellon University

Challenges in SLAM: What's ahead

Outline and Links

27 May 2021

12:30 PM EST

Michael Kaess

Associate Research Professor

Carnegie Mellon University

Factor Graphs and Robust Perception

Outline and Links

3 June 2021

4:00 PM EST

Michael Milford

Professor in Electrical Engineering

Queensland University of Technology

Biologically-inspired SLAM: Where are we coming from and where could we go?

Outline and Links

10 June 2021

4:00 PM EST

Andrew Davison

Professor of Robot Vision

Imperial College London

Graph-based representations for Spatial-AI

Outline and Links

1 July 2021

12:30 PM EST

Guoquan (Paul) Huang

Associate Professor

University of Delaware

Visual-Inertial Estimation and Perception

Outline and Links

8 July 2021

12:30 PM EST

Luca Carlone

Assistant Professor in Department of Aeronautics and Astronautics

Massachusetts Institute of Technology

The Future of Robot Perception: Recent Progress and Opportunities Beyond SLAM

Outline and Links

15 July 2021

12:30 PM EST

John Leonard

Professor of Mechanical and Ocean Engineering

Massachusetts Institute of Technology

The Past, Present and Future of SLAM

Outline and Links

22 July 2021

12:00 PM EST

Krishna Murthy Jatavallabhula

PhD Candidate

Mila

Differentiable Programming for Spatial AI: Representation, Reasoning, and Planning

Outline and Links

29 July 2021

12:30 PM EST

Wenshan Wang & Shibo Zhao

AirLab

Carnegie Mellon University

Wenshan - Pushing the limits of Visual SLAM

Shibo - Super Odometry: Robust Localization and Mapping in Challenging Environments

12 August 2021

12:30 PM EST

Paloma Sodhi & Sudharshan Suresh

Robot Perception Lab

Carnegie Mellon University

Paloma -Learning in factor graphs for tactile perception

Sudharshan - Tactile SLAM: inferring object shape and pose through touch

19 August 2021

12:30 PM EST

Kevin Doherty

PhD Candidate

Massachusetts Institute of Technology

Robust Semantic SLAM: Representation and Inference

26 August 2021

12:30 PM EST


Organizers


Shibo Zhao

PhD Candidate

Carnegie Mellon University

Nikhil Varma Keetha

Robotics Institute Summer Scholar

IIT (ISM) Dhanbad

Wenshan Wang

Scientist

Carnegie Mellon University

Henry Zhang

Master's Student

Carnegie Mellon University

Brady Moon

PhD Candidate

Carnegie Mellon University


Session Contents


Sebastian Scherer

Challenges in SLAM: What's ahead  


Michael Kaess

Factor Graphs and Robust Perception  


Michael Milford

Biologically-inspired SLAM  


Andrew Davison

Graph-based representations for Spatial-AI  


Guoquan (Paul) Huang

Visual-Inertial Estimation and Perception  


Luca Carlone

The Future of Robot Perception  


John Leonard

The Past, Present and Future of SLAM  


Krishna Murthy Jatavallabhula

Differentiable Programming for Spatial AI: Representation, Reasoning, and Planning