World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
4551
World Ranking
8779
National Ranking
2437

Overview

Angelo Miele was affiliated with Rice University in the United States and contributed to research primarily in the fields of Computer Vision and Pattern Recognition as well as Computer Networks and Communications. Their work focused on topics including Robotic Path Planning Algorithms and Distributed Control in Multi-Agent Systems.

The scientist published multiple papers in peer-reviewed venues, reflecting a concentration on distributed coordination and networked multi-agent systems. Notable publications include:

  • "A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-Robot Systems" (2025, IEEE Transactions on Automation Science and Engineering)
  • "Gossip-Based Estimation of Centroid and Common Reference Frame in Open Multi-Agent Systems" (2025, IEEE Control Systems Letters)
  • "Discrete-Time Distributed Potential-Based Coordination in Networked Multi-Agent Systems" (2025, IEEE Control Systems Letters)
  • "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (2024, arXiv (Cornell University))

The venues where the scientist frequently published include:

  • IEEE Control Systems Letters
  • IEEE Transactions on Automation Science and Engineering
  • arXiv (Cornell University)

Collaborations formed an important part of the scientist's academic work, with several frequent co-authors contributing to their research. These included Andrea Gasparri, Martina Lippi, Skander Moalla, Razvan Pascanu, and Çaǧlar Gülçehre.

The scientist's research explored the integration of distributed algorithms for task allocation and system coordination in networked environments, particularly focusing on multi-robot and multi-agent systems. They addressed problems related to coordination safety, system reference frames, and trust issues within reinforcement learning frameworks.

Best Publications

  • Sequential gradient-restoration algorithm for optimal control problems

    J. N. Damoulakis;A. Miele;R. E. Pritchard

  • Sequential gradient-restoration algorithm for the minimization of constrained functions - Ordinary and conjugate gradient versions

    A. Miele;H. Y. Huang;J. C. Heideman

  • General technique for solving nonlinear, two-point boundary-value problems via the method of particular solutions

    A. Miele;R. R. Iyer

  • Recent advances in gradient algorithms for optimal control problems

    A. Miele

  • On the method of multipliers for mathematical programming problems

    A. Miele;P. E. Moseley;A. V. Levy;G. M. Coggins

  • Sequential gradient-restoration algorithm for optimal control problems with general boundary conditions

    A. K. Wu;A. Miele

  • Optimal take-off trajectories in the presence of windshear

    A Miele;T Wang;W W Melvin

  • Method of particular solutions for linear, two-point boundary-value problems

    Angelo Miele

  • Study on a memory gradient method for the minimization of functions

    A. Miele;J. W. Cantrell

  • Sequential gradient-restoration algorithm for optimal control problems with nondifferential constraints

    A. Miele;J. N. Damoulakis;J. R. Cloutier;J. L. Tietze

  • Primal-dual properties of sequential gradient-restoration algorithms for optimal control problems 2. General problem

    A Miele;T Wang

  • Optimization and acceleration guidance of flight trajectories in a windshear

    A. Miele;T. Wang;W. W. Melvin

  • Sequential conjugate gradient-restoration algorithm for optimal control problems with non-differential constraints and general boundary conditions, part I

    Unknown

  • Guidance strategies for near-optimum take-off performance in a windshear

    A Miele;T Wang;W W Melvin

  • Gradient Algorithms for the Optimization of Dynamic Systems

    Angelo Miele

  • Use of the Augmented Penalty Function in Mathematical Programming Problems) Part 1

    A. Miele;E. E. Cragg;R. R. Iyer;A. V. Levy

  • OPTIMAL TRAJECTORIES FOR EARTH–MOON–EARTH FLIGHT

    A. Miele;S. Mancuso

  • Optimal abort landing trajectories in the presence of windshear

    A. Miele;T. Wang;C. Y. Tzeng;W. W. Melvin

  • Optimal Trajectories for Spacecraft Rendezvous

    A. Miele;M. W. Weeks;M. Ciarcià

  • Primal and dual formulations of sequential gradient-restoration algorithms for trajectory optimization problems

    A. Miele;T. Wang;V.K. Basapur

  • Multiple-Subarc Gradient-Restoration Algorithm, Part 1: Algorithm Structure

    A. Miele;T. Wang

  • The 1st John V. Breakwell Memorial Lecture: Recent advances in the optimization and guidance of aeroassisted orbital transfers☆☆☆

    A. Miele

  • Theorem of Image Trajectories in the Earth-Moon Space

    Angelo Miele

  • Acceleration, gamma, and theta guidance for abort landing in a windshear

    A. Miele;T. Wang;W. W. Melvin;R. L. Bowles

  • Gamma guidance schemes for flight in a windshear

    A. Miele;T. Wang;W. W. Melvin;R. L. Bowles

  • Use of the augmented penalty function in mathematical programming problems, part 2

    A. Miele;E. E. Cragg;A. V. Levy

  • Computing Methods in Optimization Problems

    G. Arienti;A. Colonelli Daneri;M. Auslender;E. J. Beltrami

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