PX4 Attitude Estimation in AirSim July 13, 2017 Chris Lovett | Microsoft Research Shows how to check the PX4 attitude estimator behavior with AirSim and LogViewer. Opens in a new tab Speakers Chris Lovett Principal Research Software Engineer Related Links Research Area Artificial intelligence Computer vision Programming languages and software engineering Research Lab Microsoft Research Lab - Redmond Project Aerial Informatics and Robotics Platform Watch Next Episode 1: Tackling complex healthcare challenges May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Episode 2: A multi-disciplinary approach May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Episode 3: Collaborating faster May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Episode 4: A distribution channel for AI innovation May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Episode 5: Breakthroughs in AI May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Episode 6: Healthcare Agent Orchestrator May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Episode 7: The road ahead May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al. Using LLMs for safe low-level programming February 25, 2025 Aseem Rastogi, Pantazis Deligiannis LLMs vs. Torch 1.5: Why Your Code Assistant Can't Keep Up February 4, 2025 Diganta Misra
Episode 1: Tackling complex healthcare challenges May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al.
Episode 2: A multi-disciplinary approach May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al.
Episode 3: Collaborating faster May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al.
Episode 4: A distribution channel for AI innovation May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al.
Episode 5: Breakthroughs in AI May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al.
Episode 6: Healthcare Agent Orchestrator May 1, 2025 Jonathan M. Carlson, Will Guyman, Matthew Lungren , et. al.
