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Electronics and Electrical Engineering

D-Index
53
Citations
13968
World Ranking
2363
National Ranking
919

Overview

Nathan Michael is affiliated with Carnegie Mellon University in the United States. Their research focuses primarily on engineering and computer science, with specialized work in subfields such as computer vision and pattern recognition, aerospace engineering, computer networks and communications, mechanical engineering, and control and systems engineering.

The principal topics covered in Nathan Michael's research include robotic path planning algorithms, robotics and sensor-based localization, distributed control in multi-agent systems, 3D surveying and cultural heritage, teleoperation and haptic systems, remote sensing and LiDAR applications, and 3D shape modeling and analysis.

Recent publications by Nathan Michael reflect this broad spectrum of expertise. Notable papers include:

  • Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models, 2023, IEEE Robotics and Automation Letters
  • Scalable Distributed Planning for Multi-Robot, Multi-Target Tracking, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Rapid and High-Fidelity Subsurface Exploration with Multiple Aerial Robots, 2021, Springer proceedings in advanced robotics
  • Rotational Error Metrics for Quadrotor Control, 2020, arXiv (Cornell University)
  • Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models, 2023, arXiv (Cornell University)

Nathan Michael collaborates frequently with several coauthors, including Kshitij Goel, Wennie Tabib, Micah Corah, Xuning Yang, and Curtis Boirum. These collaborations have contributed to the diverse and interdisciplinary nature of their research output.

The scientist has published repeatedly in various venues, with a concentration of work appearing in arXiv (Cornell University), IEEE Robotics and Automation Letters, the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and Springer proceedings in advanced robotics.

Best Publications

  • Trajectory generation and control for precise aggressive maneuvers with quadrotors

    Daniel Mellinger;Nathan Michael;Vijay Kumar

  • The GRASP Multiple Micro-UAV Testbed

    N Michael;D Mellinger;Q Lindsey;V Kumar

  • Cooperative manipulation and transportation with aerial robots

    Nathan Michael;Jonathan Fink;Vijay Kumar

  • Cooperative Grasping and Transport Using Multiple Quadrotors

    Daniel Mellinger;Michael Shomin;Nathan Michael;Vijay Kumar

  • Autonomous multi-floor indoor navigation with a computationally constrained MAV

    Shaojie Shen;Nathan Michael;Vijay Kumar

  • Collaborative Mapping of an Earthquake Damaged Building via Ground and Aerial Robots.

    Nathan Michael;Shaojie Shen;Kartik Mohta;Vijay Kumar

  • Opportunities and challenges with autonomous micro aerial vehicles

    Vijay Kumar;Nathan Michael

  • Collaborative mapping of an earthquake-damaged building via ground and aerial robots

    Nathan Michael;Shaojie Shen;Kartik Mohta;Yash Mulgaonkar

  • Trajectory generation and control of a quadrotor with a cable-suspended load - A differentially-flat hybrid system

    Koushil Sreenath;Nathan Michael;Vijay Kumar

  • Planning and control for cooperative manipulation and transportation with aerial robots

    Jonathan Fink;Nathan Michael;Soonkyum Kim;Vijay Kumar

  • Distributed multi-robot task assignment and formation control

    N. Michael;M.M. Zavlanos;V. Kumar;G.J. Pappas

  • Trajectory design and control for aggressive formation flight with quadrotors

    Matthew Turpin;Nathan Michael;Vijay Kumar

  • Tightly-coupled monocular visual-inertial fusion for autonomous flight of rotorcraft MAVs

    Shaojie Shen;Nathan Michael;Vijay Kumar

  • Vision-Based, Distributed Control Laws for Motion Coordination of Nonholonomic Robots

    N. Moshtagh;N. Michael;A. Jadbabaie;K. Daniilidis

  • Capt: Concurrent assignment and planning of trajectories for multiple robots

    Matthew Turpin;Nathan Michael;Vijay Kumar

  • Vision-Based Localization for Leader–Follower Formation Control

    G.L. Mariottini;F. Morbidi;D. Prattichizzo;N. Vander Valk

  • Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV

    Shaojie Shen;Yash Mulgaonkar;Nathan Michael;Vijay Kumar

  • Vision-Based State Estimation and Trajectory Control Towards High-Speed Flight with a Quadrotor

    Shaojie Shen;Yash Mulgaonkar;Nathan Michael;Vijay Kumar

  • Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping

    Benjamin Charrow;Gregory Kahn;Sachin Patil;Sikang Liu

  • Autonomous indoor 3D exploration with a micro-aerial vehicle

    Shaojie Shen;Nathan Michael;Vijay Kumar

Frequent Co-Authors

Shaojie Shen
Shaojie Shen Hong Kong University of Science and Technology
George J. Pappas
George J. Pappas University of Pennsylvania
Satoshi Tadokoro
Satoshi Tadokoro Tohoku University
Mac Schwager
Mac Schwager Stanford University
Kazuya Yoshida
Kazuya Yoshida Tohoku University
Paulo Tabuada
Paulo Tabuada University of California, Los Angeles
Vijay Kumar
Vijay Kumar University of Pennsylvania
Gregory S. Chirikjian
Gregory S. Chirikjian University of Delaware
Domenico Prattichizzo
Domenico Prattichizzo University of Siena

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