Rahul Chaudhari

Research Group Leader - Human Activity Understanding at Technical University Munich
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Contact Information
us****@****om
(386) 825-5501
Location
DE
Languages
  • English Native or bilingual proficiency
  • German Professional working proficiency
  • Hindi Native or bilingual proficiency
  • Marathi Native or bilingual proficiency

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Jinjian Wang

I worked together with Rahul at TU Munich, when he was a research assistant and I was a master's student. He advised me on the topic of multi-point tactile texture sensing and actuation. Together we developed a hardware-software prototype for working with vibrotactile textures. Rahul was very committed to this project, although it was only a side-topic during his PhD. He had a very systematic approach towards R&D, was always highly motivated, and a pleasure to work with.

Clemens Schuwerk

It was a pleasure collaborating with Rahul at the TU Munich. We worked on exciting research topics in the areas of client-server haptic virtual environments and vibrotactile communications. We published 7 research papers together. Rahul was always highly motivated, proactive, and contributed novel ideas to our joint work. He was always willing to lend a helping hand to colleagues in their work, even when it did not directly benefit his work. I wish him all the best in his future career and hope to work together with him again some day.

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Experience

    • Germany
    • Research Services
    • 700 & Above Employee
    • Research Group Leader - Human Activity Understanding
      • Aug 2019 - Present

      Rahul leads the research group on Human Activity Understanding at the TU Munich Chair of Media Technology. The Human Activity Understanding (HAU) group builds models of human interaction with the environment using Computer Vision, Sensor Fusion, and AI techniques. The insights gained from these models can be used to build technology that improves human well-being, comfort and convenience. Current focus: Understanding Human-Object Interactions using Computer Vision and Machine Learning Under this topic, we build models of human-object interactions using camera data (RGB and Depth) recorded in indoor environments. Depending on the availability, wearable sensors (e.g. Inertial Measurement Units) or sensors installed in the environment (RFID, motion detectors, etc.) may be fused together with RGB-D data. For more information, visit Rahul's webpage at TUM: https://www.ei.tum.de/lmt/team/mitarbeiter/chaudhari-rahul/

    • United States
    • Software Development
    • 1 - 100 Employee
    • Technical Project Manager Europe
      • Aug 2018 - Aug 2019

      Artisense.ai enables dynamic 3D mapping and localization in real time without relying on GPS. At Artisense I lead PoC and Research projects with globally leading industry partners in Automotive, Avionics, and Robotics. Artisense.ai enables dynamic 3D mapping and localization in real time without relying on GPS. At Artisense I lead PoC and Research projects with globally leading industry partners in Automotive, Avionics, and Robotics.

    • Germany
    • Technology, Information and Internet
    • 200 - 300 Employee
    • Advanced Software Engineer
      • Jan 2017 - May 2018

      NavVis is a world leader in full end-to-end digitalisation of indoor spaces. Its product portfolio consists of hardware and software solutions for creating highly accurate 3D point-clouds and panoramas of large indoor spaces, web-based exploration of the captured 3D spaces, and indoor navigation technology. As a part of the Mapping and Perception team, I worked on the software stack responsible for live-mapping with the NavVis trolley, and subsequent post-processing to generate photorealistic 3D point-clouds. The team works on topics including SLAM and 3D point-cloud processing. Main areas of work: • C++/Python software for precise time-synchronisation of multi-sensor data (LiDARs, IMU, cameras). • Debugging and performance optimisation of SLAM and visualisation of (3D) maps • Python-based tests to ensure reliable communication with various sensors on the NavVis trolley. • Provided input and took actions to improve company processes and work-atmosphere • Key skills: C++, Python, ROS, SCRUM

    • Germany
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineer
      • May 2015 - Dec 2016

      Advanced Navigation Solutions is a leading company in the development of ultra-precise IMU/GNSS-based Positioning and Attitude solutions for top customers ranging from Bosch, VW and Huawei to research organizations in the European Space Agency and German universities. Developed the (C, C++) software framework for real-time multi-sensor data acquisition, and integration of the ANavS software into customer platforms. Key contributions: • Designed and developed the (C, C++-based) software architecture for real-time acquisition of multi-sensor (multi-GNSS/IMU/Barometer) data over USB, Bluetooth, and Internet • Developed software for synchronizing, parsing and decoding of the multi-sensor data • Implemented the software interface for customers to access the ANavS positioning solution • Extended the ANavS app for graphical display of results (Qt, C++/QML programming) • Developed team-spirit and co-operation across engineers at all levels of product development: from electronic hardware, firmware, data-acquisition software to high-level positioning algorithms • Supported customers to troubleshoot integration of ANavS solutions into their platforms, pinpointed problems, suggested work arounds, and provided bug-fixes • Managed 3 student projects, providing feedback on a regular basis • Interviewed one employee, and was part of the hiring decisions for 2 others

    • Germany
    • Research Services
    • 700 & Above Employee
    • Research Associate (Dr.-Ing., Summa Cum Laude)
      • Jan 2010 - Apr 2015

      The TUM’s chair of media technology is a global leader in multimedia and multimodal information processing with focus on (visual-haptic) data compression & 3D Robotic Vision. It develops cutting-edge solutions in conjunction with top industry players like BMW, NTT Docomo Eurolabs, and Rohde & Schwarz. Bleeding-edge research in haptic data communications, and initiation of the Computational Haptics Laboratory course offered at TUM. Key contributions: • Developed data-compression algorithms for haptic signals based on perceptual masking effects • Implemented the above algorithms for real-time and evaluated them in a real-world robotic system • Developed experimental setups with Qt-based GUIs that interfaced to the real-time software • Supervised a master thesis, a bachelor thesis, and several student projects and internships • Co-authored 5 papers in world-renowned journals, 1 book chapter, and 11 publications at leading conferences world-wide • Collaborated with universities in USA/South Korea on seminal joint publications • Communicated globally on the topic of haptic signal processing across research institutions in 5 different countries • Developed and successfully ran the Haptics Lab course for five consecutive years (8 students per year)

    • Research Services
    • 700 & Above Employee
    • Visiting Researcher
      • Feb 2014 - Apr 2014

      Human haptic perception studies with the objective of developing an automatic perceptual quality evaluation algorithm for haptic communications. Human haptic perception studies with the objective of developing an automatic perceptual quality evaluation algorithm for haptic communications.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Visiting Researcher
      • Aug 2011 - Oct 2011

      Haptic texture signal compression for teleoperation: studied the adaptation of speech-coding techniques for haptic texture data compression. Haptic texture signal compression for teleoperation: studied the adaptation of speech-coding techniques for haptic texture data compression.

    • Switzerland
    • Higher Education
    • 700 & Above Employee
    • Remote Intern
      • Mar 2009 - Jun 2009

      3D city model from point cloud data: developed an algorithm to compute a piecewise planar 3D model of Zurich out of point clouds extracted from omnidirectional images. 3D city model from point cloud data: developed an algorithm to compute a piecewise planar 3D model of Zurich out of point clouds extracted from omnidirectional images.

    • Germany
    • Research Services
    • 700 & Above Employee
    • Student Assistant
      • Nov 2008 - Jan 2009

      Stability of telepresence systems: based on theory, developed a Matlab program to determine the stability region for a one degree-of-freedom teleoperation system, and carried out laboratory experiments for the verification of the obtained stability regions. Stability of telepresence systems: based on theory, developed a Matlab program to determine the stability region for a one degree-of-freedom teleoperation system, and carried out laboratory experiments for the verification of the obtained stability regions.

    • Germany
    • Automation Machinery Manufacturing
    • 700 & Above Employee
    • Intern
      • May 2008 - Oct 2008

      Electronic design: electronics and PCB design of power supplies, line buffers, etc. Worked on the design of a one-dimensional distance measurement system based on the concept of sequential sampling and double PLLs, developed software for the microcontroller-based transceiver baseband circuitry. Electronic design: electronics and PCB design of power supplies, line buffers, etc. Worked on the design of a one-dimensional distance measurement system based on the concept of sequential sampling and double PLLs, developed software for the microcontroller-based transceiver baseband circuitry.

    • India
    • Higher Education
    • 100 - 200 Employee
    • Bachelor Student
      • Dec 2005 - May 2006

      Electronic design: developed a microcontroller-based solar tracking system - useful for battery support in, e.g., autonomous wireless sensor nodes in remote locations. Electronic design: developed a microcontroller-based solar tracking system - useful for battery support in, e.g., autonomous wireless sensor nodes in remote locations.

Education

  • Technische Universität München
    Master of Science (M.Sc.), Communication Systems Engineering
    2007 - 2009
  • Udacity
    Self-driving car nanodegree, Autonomous driving, robotics
    2017 - 2018
  • Technical University Munich
    Dr.-Ing., Communications and Signal Processing
    2010 - 2015
  • University of Pune
    Bachelor of Engineering (B.E.), Electronics and Telecommunications
    2002 - 2006

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