5 papers
CL4D: Contrastive Language-4D Pretraining for Vision-Language Reasoning in Dynamic Scenes
Kumal Hewagamage, Isuranga Senavirathne, Sasika Amarasinghe +4
4D understanding and reasoning is a fundamental capability for embodied AI agents operating in dynamic physical environments. However, existing vision encoders are largely limited…
Making Embodied AI Reliable: A Community Agenda from Testing to Formal Verification
Xi Zheng, Dulanga Weerakoon, Yintong Huo +8
Embodied AI systems are increasingly deployed in open-world environments, yet ensuring their reliability remains a fundamental challenge. Drawing on discussions from the AAAI'26 Br…
NeuroLiDAR: Adaptive Frame Rate Depth Sensing via Neuromorphic Event-LiDAR Fusion
Darshana Rathnayake, Dulanga Weerakoon, Meera Radhakrishnan +1
LiDARs are widely used for 3D depth reconstruction, but their performance is often limited by inherent hardware constraints that impose trade-offs between range, spatial resolution…
Towards Adaptive Environment Generation for Training Embodied Agents
Teresa Yeo, Dulaj Weerakoon, Dulanga Weerakoon +1
Embodied agents struggle to generalize to new environments, even when those environments share similar underlying structures to their training settings. Most current approaches to…
Ges3ViG: Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding
Atharv Mahesh Mane, Dulanga Weerakoon, Vigneshwaran Subbaraju +3
3-Dimensional Embodied Reference Understanding (3D-ERU) combines a language description and an accompanying pointing gesture to identify the most relevant target object in a 3D sce…