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From the 1 of 12 linked papers with an AI index.

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20242026
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cs.RO2026

COLMAR: Cooperative View Policy Learning for Multi-Agent Active 3D Reconstruction

Phu Pham, Damon Conover, Aniket Bera

The paper presents COLMAR, a framework that learns cooperative view selection policies for multiple agents to improve active 3D reconstruction, using shared map-centric observation…

cs.RO2026

CoReLIN: Constraint-based Reasoning for Zero-shot Lifelong Interactive Navigation

Apoorva Vashisth, Manav Kulshrestha, Pranav Bakshi +3

Robot navigation typically assumes an obstacle-free path exists between start and goal. In real environments, however, clutter may block all routes. We introduce Lifelong Interacti…

cs.RO2026

HAVEN: Hierarchical Adversary-aware Visibility-Enabled Navigation with Cover Utilization using Deep Transformer Q-Networks

Mihir Chauhan, Damon Conover, Aniket Bera

Autonomous navigation in partially observable environments requires agents to reason beyond immediate sensor input, exploit occlusion, and ensure safety while progressing toward a…

cs.RO2026

VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models

Manav Kulshrestha, S. Talha Bukhari, Damon Conover +1

Robotic grasping is a fundamental capability for enabling autonomous manipulation, with usually infinite solutions. State-of-the-art approaches for grasping rely on learning from l…

cs.RO2025

Scalable Multi-Robot Informative Path Planning for Target Mapping via Deep Reinforcement Learning

Apoorva Vashisth, Manav Kulshrestha, Damon Conover +1

Autonomous robots are widely utilized for mapping and exploration tasks due to their cost-effectiveness. Multi-robot systems offer scalability and efficiency, especially in terms o…

cs.RO2024

Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion

Vineet Punyamoorty, Pascal Jutras-Dubé, Ruqi Zhang +3

By framing reinforcement learning as a sequence modeling problem, recent work has enabled the use of generative models, such as diffusion models, for planning. While these models a…