2 papers
cs.CV2026
Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
Yu Qi, Haibo Zhao, Ziyu Guo +17
Understanding the capability bottlenecks of embodied multimodal large language models (MLLMs) is crucial for improving embodied agents. However, existing embodied benchmarks mainly…
cs.RO2025
RaycastGrasp: Eye-Gaze Interaction with Wearable Devices for Robotic Manipulation
Zitiantao Lin, Yongpeng Sang, Yang Ye
Robotic manipulators are increasingly used to assist individuals with mobility impairments in object retrieval. However, the predominant joystick-based control interfaces can be ch…