Understanding dark scenes based on multi-modal image data is challenging, as both the
visible and auxiliary modalities provide limited semantic information for the task. Previous …

In unknown cluttered and dynamic environments such as disaster scenes, mobile robots
need to perform target-driven navigation in order to find people or objects of interest, where …

In this paper, we focus on analyzing the relationship between the input of source text and
source image, and then through the integration and generalization of the multi-modal …

Mobile robots in unknown cluttered environments with irregularly shaped obstacles often
face sensing, energy, and communication challenges which directly affect their ability to …

Temporal action segmentation is an essential task for understandingcomplex human activity
sequences and identifying long-term dependencies between human actions. This is …

Human-robot interaction (HRI) in human social environments (HSEs) poses unique
challenges for robot perception systems, which must combine asynchronous …

Embodied artificial intelligence (AI) agents, which navigate and interact with their
environment using sensors and actuators, are being applied for mobile robotic platforms …

The Multi-Object Search (MOS) problem involves navigating to a sequence of locations to
maximize the likelihood of finding target objects while minimizing travel costs. In this paper …

How easy is it to sneak up on a robot? We examine whether we can detect people using
only the incidental sounds they produce as they move, even when they try to be quiet. To do …

Tracking of dynamic people in cluttered and crowded human-centered environments is a
challenging robotics problem due to the presence of intraclass variations including …