works on

From the 1 of 35 linked papers with an AI index.

activity
20242026
most citedLogic-Guided Socially-aware Robot Navigation World Model

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.ROShow all

18 papers · 1 filter

cs.RO2026

Fast Generative Grasping via Lie Group-Constrained MeanFlow

S. Talha Bukhari, Yi Wei, Ruiqi Ni +2

Grasp synthesis is a core task in robotic manipulation, for which the solution typically forms a multimodal distribution rather than a point estimate. Generative robotic grasping a…

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.RO20261 cited

Logic-Guided Socially-aware Robot Navigation World Model

Weizheng Wang, Obi Ike, Soyun Choi +3

Social robot navigation increasingly relies on large language models for reasoning, path planning, and enabling movement in dynamic human spaces. However, relying solely on LLMs fo…

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

LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation

Zhiquan Wang, Yunyu Liu, Dipam Patel +3

Developing natural and diverse locomotion controllers for quadruped robots that can adapt to complex terrains while preserving motion style remains a significant challenge. Existin…

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…