Assistant professor in MAE program at ASU researching ML for safe Multiagent Control.

Joined January 2013
7 Photos and videos
Registration is open for the conference now. Early registration deadline is April 27: acc2026.a2c2.org/registratio… Student travel support is also available: acc2026.a2c2.org/students/st…
Excited to be hosting a workshop on large-scale MAS with Chuchu Fan from MIT at the American Controls Conference (ACC 2026) to be held in New Orleans from May 26-29. Official link with more details: tinyurl.com/ACC2026MAS
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Excited to be hosting a workshop on large-scale MAS with Chuchu Fan from MIT at the American Controls Conference (ACC 2026) to be held in New Orleans from May 26-29. Official link with more details: tinyurl.com/ACC2026MAS
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KUNAL GARG retweeted
Thanks @ASURobotics colleagues for the wonderful organization and lively discussion! @rao2z @asurobot @spring_berman @huang21608 @jd_knight @LindsaySanneman @jinwanxin @kunalgarg94 @JiefengS @Ransalu
Enjoying the Southwest robotics symposium ⁦@ASU⁩ ⁦@ASURobotics⁩ ⁦@jd_knight⁩ ⁦@asurobot⁩ ⁦⁦@nakulgopalan
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I am an Editor for a new research topic, 'Formal Verification of Neural Networks-Based Control Architecture for Safety-Critical Autonomous Systems', which is now open for submissions in Frontiers in Control Engineering. Deadline: 04/20/26. More details: tinyurl.com/FormalNNFrontier…
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KUNAL GARG retweeted
7 Feb 2025
Improving multirobot system safety: A new training method for multiagent systems from LIDS PI Chuchu Fan, grad students Songyuan Zhang, @oswinso, and postdoc @kunalgarg94 could help drone shows, warehouse robots, self-driving cars stay in the safety zone. bit.ly/4aHVQpr
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KUNAL GARG retweeted
Engineers developed a training method for multiagent systems, such as large numbers of drones, that can guarantee their safe operation in crowded environments. The research could improve the safety of drone shows, warehouse robots, and self-driving cars. mitsha.re/t4t750URvUO
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Our recent work from @mit_REALM was featured on the @MIT homepage web.mit.edu/ This was a joint work with Songyuan and Oswin on learning a distributed graph CBF for safety of large-scale multi-robot systems, the paper appeared in TRO this month: ieeexplore.ieee.org/abstract…

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Proud moment for a control theory student to see their advisor giving the plenary @IEEECDC2024 #CDCMilan2024
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Control theorist asking important questions regarding LLMs at the opening plenary @IEEECDC2024 #CDC2024
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Congratulations to the youngest world chess champion in the history of the game 🎉🎉
13 Dec 2024
18th @ 18!
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I will be attending @IEEECDC2024 next week presenting my work on deadlock resolution for connected multi-robot system. Come say hi if you are interested in this line of work or if you are interested in the space robotics position @ASUEngineering
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Replying to @ASUEngineering
@ASUEngineering is seeking applicants for a tenure-track or tenured faculty position in the area of space robotics, controls and autonomous systems. For additional information, reach out to me or contact search committee chair, Prof. Matthew Peet: mpeet@asu.edu.
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Also, I will be attending @IEEECDC2024.If you attending the conference and would like to discuss this position, hit me up.
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KUNAL GARG retweeted
If you are applying for #gradschool and have last-minute questions about your application, I'll offer office hours on zoom on November 7, 12:00pm-1:30pm EST at mit.zoom.us/j/8900097908. bring your questions!
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KUNAL GARG retweeted
#L4DC2025 will take place at the University of Michigan, Ann Arbor on June 4-6, 2025! For more information, see sites.google.com/umich.edu/l…!
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Life update: Very excited to announce that I am joining @ASUEngineering @SEMTEatASU as a tenure-track assistant professor in MAE program, starting Jan '25. I am hiring graduate students to work with me: search.asu.edu/profile/51723…

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Congratulations to @DGukesh , youngest player to ever qualify for #FIDE #WorldChessChampionship What an inspiration, outplaying legends and winning the #fidecandidates2024 like a boss!! The future of chess is in good hands 🎉🥳🎉
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Our survey paper titled "Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges" accepted in Annual Reviews in Control. ArXiv link: arxiv.org/abs/2311.13714

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This survey reviews recent advances in control of multi-robot systems with a focus on learning-based methods with safety considerations. We provide an extensive review of distributed and centralized certificate-learning and RL-based methods; identify open problems and challenges.
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This work is in collaboration with @mit_REALM members.
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Our tutorial paper on "Advances in the Theory of Control Barrier Functions: Addressing Practical Challenges in Safe Control Synthesis for Autonomous and Robotic Systems" accepted in Annual Reviews in Control. ArXiv link: arxiv.org/abs/2312.16719
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This tutorial paper presents recent work from my Ph.D. group @UMRobotics extending the CBF theory to address practical challenges in the synthesis of safe controllers for autonomous robots. A good starting point for someone looking for advanced techniques using CBFs in robotics.
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