collaborators

11 papers

cs.RO2026

Multi-Agent Next-Best-View Optimization for Risk-Averse Planning

Amirhossein Mollaei Khass, Vivek Pandey, Guangyi Liu +3

Multi-agent Next-Best-View (NBV) selection for safe path planning in uncertain and unknown environments requires informative, safety-aware, and efficient coordination. Centralized…

cs.RO2026

Conflict-Aware Active Perception and Control in 3D Gaussian Splatting Fields via Control Barrier Functions

Amirhossein Mollaei Khass, Athanasios Cosse, Vivek Pandey +1

Active perception in uncertain environments requires robots to navigate safely while acquiring informative observations to reduce map uncertainty. These objectives inherently confl…

eess.SY2026

Entropic Value-at-Risk for Inter-Vehicle Collision in Platoons: Network- and Delay-Induced Bounds on Risk Due to Extreme Events

Vivek Pandey, Nader Motee

Safe operation of connected vehicle platoons under stochastic disturbances and time-delayed dynamics requires accurate quantification of rare but dangerous events, such as inter-ve…

eess.SY2026

Incremental Risk Assessment for Cascading Failures in Large-Scale Multi-Agent Systems

Guangyi Liu, Vivek Pandey, Christoforos Somarakis +1

We develop a framework for studying and quantifying the risk of cascading failures in time-delay consensus networks, motivated by a team of agents attempting temporal rendezvous un…

eess.SY2025

Distributionally Robust Cascading Risk in Multi-Agent Rendezvous: Extended Analysis of Parameter-Induced Ambiguity

Vivek Pandey, Nader Motee

Ensuring safety in autonomous multi-agent systems during time-critical tasks such as rendezvous is a fundamental challenge, particularly under communication delays and uncertainty…

cs.RO2025

Efficient Greedy Algorithms for Feature Selection in Robot Visual Localization

Vivek Pandey, Amirhossein Mollaei, Nader Motee

Robot localization is a fundamental component of autonomous navigation in unknown environments. Among various sensing modalities, visual input from cameras plays a central role, en…