World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
14095
World Ranking
2638
National Ranking
1306

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to automated control synthesis and robot motion planning and control

Overview

Calin Belta is affiliated with Boston University in the United States. Their research focuses broadly on engineering and computer science, with specific attention to control and systems engineering and artificial intelligence.

The scientist's work spans several interconnected topics, including:

  • Advanced Control Systems Optimization
  • Formal Methods in Verification
  • Fault Detection and Control Systems
  • Robotic Path Planning Algorithms
  • Reinforcement Learning in Robotics
  • Stability and Control of Uncertain Systems
  • Control Systems and Identification

Frequent coauthors collaborating with Calin Belta include Wei Xiao, Christos G. Cassandras, M. Cohen, Cristian-Ioan Vasile, and Roberto Tron.

The scientist has contributed extensively to scholarly publications, with a notable presence in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • Automatica
  • 2022 IEEE 61st Conference on Decision and Control (CDC)
  • bioRxiv (Cold Spring Harbor Laboratory)

Examples of recent papers include:

  • "High-Order Control Barrier Functions" (2021) published in IEEE Transactions on Automatic Control
  • "Adaptive Control Barrier Functions" (2021) published in IEEE Transactions on Automatic Control
  • "Bridging the gap between optimal trajectory planning and safety-critical control with applications to autonomous vehicles" (2021) published in Automatica
  • "Sufficient conditions for feasibility of optimal control problems using Control Barrier Functions" (2021) published in Automatica
  • "Safe exploration in model-based reinforcement learning using control barrier functions" (2022) published in Automatica

Calin Belta has published books with Morgan & Claypool Publishers, including:

  • Safe Autonomy with Control Barrier Functions (2023)
  • Adaptive and Learning-Based Control of Safety-Critical Systems (2023)

The scientist was recognized as an IEEE Fellow in 2017 for contributions to automated control synthesis and robot motion planning and control.

Best Publications

  • A Fully Automated Framework for Control of Linear Systems from Temporal Logic Specifications

    M. Kloetzer;C. Belta

  • Symbolic planning and control of robot motion [Grand Challenges of Robotics]

    C. Belta;A. Bicchi;M. Egerstedt;E. Frazzoli

  • Formal Methods for Discrete-Time Dynamical Systems

    Calin Belta;Boyan Yordanov;Ebru Aydın Göl

  • Abstraction and control for Groups of robots

    C. Belta;V. Kumar

  • Discrete abstractions for robot motion planning and control in polygonal environments

    C. Belta;V. Isler;G.J. Pappas

  • Control Barrier Functions for Systems with High Relative Degree

    Wei Xiao;Calin Belta

  • High Order Control Barrier Functions

    Wei Xiao;Calin Belta

  • Hybrid Modeling and Simulation of Biomolecular Networks

    Rajeev Alur;Calin Belta;Franjo Ivancic

  • Controlling a Class of Nonlinear Systems on Rectangles

    C. Belta;L.C.G.J.M. Habets

  • Optimal path planning for surveillance with temporal-logic constraints*

    Stephen L Smith;Jana Tůmová;Calin Belta;Daniela Rus

  • Optimality and Robustness in Multi-Robot Path Planning with Temporal Logic Constraints

    Alphan Ulusoy;Stephen L. Smith;Xu Chu Ding;Calin Belta

  • Automatic Deployment of Distributed Teams of Robots From Temporal Logic Motion Specifications

    M. Kloetzer;C. Belta

  • Optimal Control of Markov Decision Processes With Linear Temporal Logic Constraints

    Xuchu Ding;Stephen L. Smith;Calin Belta;Daniela Rus

  • Reinforcement learning with temporal logic rewards

    Xiao Li;Cristian-Ioan Vasile;Calin Belta

  • Temporal Logic Control of Discrete-Time Piecewise Affine Systems

    B. Yordanov;J. Tumova;I. Cerna;J. Barnat

  • Q-Learning for robust satisfaction of signal temporal logic specifications

    Derya Aksaray;Austin Jones;Zhaodan Kong;Mac Schwager

  • Robustness analysis and tuning of synthetic gene networks

    Grégory Batt;Boyan Yordanov;Ron Weiss;Calin Belta

  • Formal Approach to the Deployment of Distributed Robotic Teams

    Yushan Chen;Xu Chu Ding;A. Stefanescu;C. Belta

  • Temporal Logic Planning and Control of Robotic Swarms by Hierarchical Abstractions

    M. Kloetzer;C. Belta

  • Robust temporal logic model predictive control

    Sadra Sadraddini;Calin Belta

  • Temporal Logic Motion Planning and Control With Probabilistic Satisfaction Guarantees

    M. Lahijanian;S. B. Andersson;C. Belta

  • Symbolic Planning and Control of Robot Motion: State of the Art and Grand Challenges

    Calin Belta;Antonio Bicchi;Magnus B. Egerstedt;Emilio Frazzoli

Frequent Co-Authors

Vijay Kumar
Vijay Kumar University of Pennsylvania
Mac Schwager
Mac Schwager Stanford University
Stephen L. Smith
Stephen L. Smith University of Guelph
Christos G. Cassandras
Christos G. Cassandras Boston University
Mircea Lazar
Mircea Lazar Eindhoven University of Technology
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill
George J. Pappas
George J. Pappas University of Pennsylvania
Marcin Imielinski
Marcin Imielinski Cornell University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens doors to diverse online degree options and career pathways in the USA. For those concerned about their academic record, many online graduate programs that accept 2.0 gpa provide flexible routes for advancement, enabling students with varied backgrounds to pursue higher education.

If you’re looking to fast-track your studies, consider enrolling in an accelerated computer science degree. These programs allow ambitious learners to enter the tech workforce faster, without sacrificing academic rigor.

Career choices after graduation are vast. For those interested in environmental fields, discover what jobs can you get with an environmental science degree, which span from research to consultancy and policy. Additionally, an environmental engineering degree online equips graduates with in-demand skills for green technology and sustainability-focused industries.

Combining computer science with multidisciplinary online degrees creates flexible, future-proof career options across technology, engineering, and the environment.

Best Scientists Citing Calin Belta

Trending Scientists

Recently Published Articles