3 papers
cs.AI2026
Belief-Aware VLM Model for Human-like Reasoning
Anshul Nayak, Shahil Shaik, Yue Wang
Traditional neural network models for intent inference rely heavily on observable states and struggle to generalize across diverse tasks and dynamic environments. Recent advances i…
cs.RO2026
MA-VLCM: A Vision Language Critic Model for Value Estimation of Policies in Multi-Agent Team Settings
Shahil Shaik, Aditya Parameshwaran, Anshul Nayak +2
Multi-agent reinforcement learning (MARL) commonly relies on a centralized critic to estimate the value function. However, learning such a critic from scratch is highly sample-inef…
cs.RO2025
Prediction uncertainty-aware planning using deep ensembles and trajectory optimisation
Anshul Nayak, Azim Eskandarian
Human motion is stochastic and ensuring safe robot navigation in a pedestrian-rich environment requires proactive decision-making. Past research relied on incorporating determinist…