2 citations · 3 across the 14 of their papers we have counts for
10 papers · 1 filter
Mobility-Budget-Constrained Submodular Maximization for Distributed Semantic Multi-Robot Exploration
Changxuan Yao, Sandilya Sai Garimella, Lu Gan +1
Multi-robot exploration under communication and mobility constraints requires balancing information gain with reachability. We present a distributed semantic exploration framework…
ATOM: Abstract Transition and Option Modeling - Experience-Informed Hierarchical Navigation
Changxuan Yao, Panagiotis Tsiotras
We propose ATOM (Abstract Transition and Option Modeling), a hierarchical navigation framework that combines higher-level graph planning with reusable lower-level option policies f…
Beyond Nominal Equilibria: Risk-Averse Multi-Population Mean-Field Games
Bhavini Jeloka, Siddhartha Ganguly, Panagiotis Tsiotras
Recent advances in mean-field games and its multi-population variants enable large-scale heterogeneous multi-agent systems to be modeled through representative agents and their ass…
Feedback Dominance Analysis for Pursuit-Evasion Games on Graphs
Yue Guan, Daigo Shishika, Dipankar Maity +2
This work identifies the dominance regions for discrete, simultaneous-move pursuit-evasion games on graphs. Existing geometric approaches provide efficient characterizations of win…
PDO-Split: A Real-Time Solver for Constrained Potential-Dominant Games
Zhiyuan Zhang, Yue Guan, Panagiotis Tsiotras
We present Potential-Dominant Operator Splitting (PDO-Split), a real-time generalized Nash equilibrium solver for constrained dynamic multi-agent problems with potential-dominant s…
Offline Nash Solvers Meet Online Tree Search in Multi-Agent Games on Graphs
Mukesh Kumar, Yue Guan, Panagiotis Tsiotras
Computing Nash equilibrium policies in multi-agent Pursuit-Evasion games (PEG) is challenging due to the exponential growth of the joint state and action spaces with the number of…
Performance-Driven Environment Abstraction with Multi-Timescale Learning
Yue Guan, Dipankar Maity, Panagiotis Tsiotras
We study performance-driven environment abstraction for decision-making in large Markov decision processes. Rather than preserving geometric or topological structure, we seek abstr…
Multi-Contact Force Estimation for Continuum Robots via Gaussian-Parameterized Factor Graphs
Aditya Prakash, Patricio A. Vela, Panagiotis Tsiotras
Continuum robots offer key advantages in navigating unstructured environments, but their safe operation requires accurate estimation of the external contact forces acting anywhere…
Collaborative Navigation and Exploration with -Sparse Gaussian Processes
Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
Collaborative navigation of heterogeneous robots in unknown environments poses significant challenges due to sensing, communication, and computational limitations. In this work, a…
Robust Mean-Field Games with Risk Aversion and Bounded Rationality
Bhavini Jeloka, Yue Guan, Panagiotis Tsiotras
Recent advances in mean-field game literature enable the reduction of large-scale multi-agent problems to tractable interactions between a representative agent and a population dis…