activity
20222026
collaborators

9 papers

cs.RO2026

A Taxonomy of Construction Task Activities for Robot Workers

Sadman Sakib, Zhangyi None Peng, Yujie Pang +2

Recent vision-language-action models offer a path toward robots with broader repertoires than conventional task-specific systems. Construction deployment, however, requires a preci…

cs.RO2026

VikPath: A Vision Kansformer Framework for Effective Obstacle Avoidance in Self-Supervised Pathfinding

Junyao Wang, Yulin Xu, Mohammad Abdullah Al Faruque

Pathfinding is a fundamental problem in artificial intelligence and autonomous systems. Traditional heuristic-based algorithms, such as A*, rely on predefined heuristic functions t…

cs.AI2026

CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving

Junyao Wang, Yulin Xu, Yu Li +2

Modern autonomous vehicles are equipped with multiple sensors, such as cameras, LiDAR, and radar, for comprehensive environmental perception. However, robust cross-modal feature fu…

cs.CR2026

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents

Halima Bouzidi, Mboutidem Ekemini Mkpong, Mohammad Abdullah Al Faruque

Multimodal AI agents increasingly rely on persistent long-term memory to ground generation in past visual and textual episodes. We show that unconditional trust in visual data crea…

cs.AR2026

Edge Physical AI Deployment of Vision Transformers on Heterogeneous Edge GPU Targeting Autonomous Vehicles

Ashiyana Abdul Majeed, Mahmoud Meribout, Neethu Joseph +2

Physical AI systems, such as autonomous vehicles and intelligent machines, require transformer-based perception models that satisfy stringent edge latency and energy constraints. H…

cs.RO2026

HydraCollab: Adaptive Collaborative-Perception for Distributed Autonomous Systems

Luke Chen, Cheng-Ju Wu, David R. Martin +3

Collaborative-perception enables multi-robot systems to enhance situational awareness by sharing perceptual information. Existing collaborative-perception systems face an inherent…