activity
20132026
most citedControl Barriers in Bayesian Learning of System Dynamics

65 citations · 172 across the 14 of their papers we have counts for

collaborators

15 papers

cs.RO2026

SE(3) Neural Potential Fields for 6-DoF Trajectory Planning Directly from Images Without Explicit 3D Reconstruction

Jeffrey Eiyike, Masoud Ataei, Elvis Gyaase +1

Reaching a 6-DoF grasp pose in clutter requires a collision-free trajectory, conventionally obtained by reconstructing the scene in 3D and planning inside that reconstruction, at t…

cs.LG2026

Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks

Masoud Ataei, Mohammad Javad Khojasteh, Vikas Dhiman

Kolmogorov-Arnold Networks (KANs) with spline activations have recently shown promise for interpretable function approximation. Distance-Aware Error for Kolmogorov Networks (DAREK)…

eess.SY2026

Engagement-Aware Agentic Pursuit-Evasion

Ananya Acharya, Trenton Goyette, Masoud Ataei +3

This paper presents a hierarchical multi-agent architecture in which independent large language model (LLM) planners perform strategic role assignment for attacking and defending r…

cs.RO2022★ 32 cited

Safe Control Synthesis with Uncertain Dynamics and Constraints

Kehan Long, Vikas Dhiman, Melvin Leok +2

This paper considers safe control synthesis for dynamical systems with either probabilistic or worst-case uncertainty in both the dynamics model and the safety constraints. We form…

cs.LG2021★ 3 cited

Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning

Tianyu Wang, Vikas Dhiman, Nikolay Atanasov

This paper focuses on inverse reinforcement learning for autonomous navigation using distance and semantic category observations. The objective is to infer a cost function that exp…

eess.SY2020★ 65 cited

Control Barriers in Bayesian Learning of System Dynamics

Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti +1

This paper focuses on learning a model of system dynamics online while satisfying safety constraints. Our objective is to avoid offline system identification or hand-specified mode…