3 papers
cs.MA2026
Lark: Biologically Inspired Neuroevolution for Multi-Stakeholder LLM Agents
Rikhil Tanugula, Dheeraj Chintapalli, Sunkalp Chandra
We present Lark, a biologically inspired decision-making framework that couples LLM-driven reasoning with an evolutionary, stakeholder-aware Multi-Agent System (MAS). To address ve…
q-bio.OT2025
A Computer Vision and Depth Sensor-Powered Smart Cane for Real-Time Obstacle Detection and Navigation Assistance for the Visually Impaired
Sunkalp Chandra, Umang Sharma, Devesh Khilnani
Visual impairment impacts more than 2.2 billion people worldwide, and it greatly restricts independent mobility and access. Conventional mobility aids - white canes and ultrasound-…
astro-ph.EP2025
Enhanced Predictive Modeling for Hazardous Near-Earth Object Detection: A Comparative Analysis of Advanced Resampling Strategies and Machine Learning Algorithms in Planetary Risk Assessment
Sunkalp Chandra
This study evaluates the performance of several machine learning models for predicting hazardous near-Earth objects (NEOs) through a binary classification framework, including data…