most citedTransforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024

C-MASS: Combinatorial Mobility-Aware Sensor Scheduling for Collaborative Perception with Second-Order Topology Approximation

Yukuan Jia, Yuxuan Sun, Ruiqing Mao +3

Collaborative Perception (CP) has been a promising solution to address occlusions in the traffic environment by sharing sensor data among collaborative vehicles (CoV) via vehicle-t…

cs.MA2024

Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems

Sheng Zhou, Yukuan Jia, Ruiqing Mao +3

Collaborative Perception (CP) has shown great potential to achieve more holistic and reliable environmental perception in intelligent unmanned systems (IUSs). However, implementing…

cs.NI20231 cited

Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update

Jingzhou Sun, Lehan Wang, Zhaojun Nan +3

Intelligent real-time applications, such as video surveillance, demand intensive computation to extract status information from raw sensing data. This poses a substantial challenge…

cs.IT2023

Age of Information Guaranteed Scheduling for Asynchronous Status Updates in Collaborative Perception

Lehan Wang, Jingzhou Sun, Yuxuan Sun +2

We consider collaborative perception (CP) systems where a fusion center monitors various regions by multiple sources. The center has different age of information (AoI) constraints…

cs.AI20232 cited

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions

Shrestha Mohanty, Negar Arabzadeh, Julia Kiseleva +6

Human intelligence's adaptability is remarkable, allowing us to adjust to new tasks and multi-modal environments swiftly. This skill is evident from a young age as we acquire new a…