Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
[PDF][PDF] Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge
Autonomous exploration of subterranean environments constitutes a major frontier for
robotic systems as underground settings present key challenges that can render robot …
robotic systems as underground settings present key challenges that can render robot …
Robust object recognition through symbiotic deep learning in mobile robots
Despite the recent success of state-of-the-art deep learning algorithms in object recognition,
when these are deployed as-is on a mobile service robot, we observed that they failed to …
when these are deployed as-is on a mobile service robot, we observed that they failed to …
[HTML][HTML] A novel framework to improve motion planning of robotic systems through semantic knowledge-based reasoning
The need to improve motion planning techniques for manipulator robots, and new effective
strategies to manipulate different objects to perform more complex tasks, is crucial for …
strategies to manipulate different objects to perform more complex tasks, is crucial for …
Semantic slam with autonomous object-level data association
It is often desirable to capture and map semantic information of an environment during
simultaneous localization and mapping (SLAM). Such semantic information can enable a …
simultaneous localization and mapping (SLAM). Such semantic information can enable a …
[HTML][HTML] Gazeemd: Detecting visual intention in gaze-based human-robot interaction
In gaze-based Human-Robot Interaction (HRI), it is important to determine human visual
intention for interacting with robots. One typical HRI interaction scenario is that a human …
intention for interacting with robots. One typical HRI interaction scenario is that a human …
System for augmented human–robot interaction through mixed reality and robot training by non-experts in customer service environments
L El Hafi, S Isobe, Y Tabuchi, Y Katsumata… - Advanced …, 2020 - Taylor & Francis
Human–robot interaction during general service tasks in home or retail environment has
been proven challenging, partly because (1) robots lack high-level context-based cognition …
been proven challenging, partly because (1) robots lack high-level context-based cognition …
Automatic radar-camera dataset generation for sensor-fusion applications
A Sengupta, A Yoshizawa, S Cao - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Withheterogeneous sensors offering complementary advantages in perception, there has
been a significant growth in sensor-fusion based research and development in object …
been a significant growth in sensor-fusion based research and development in object …
Diver tracking in open waters: A low‐cost approach based on visual and acoustic sensor fusion
The design of a robust perception method is a substantial component towards achieving
underwater human–robot collaboration. However, in complex environments such as the …
underwater human–robot collaboration. However, in complex environments such as the …
3-d object tracking in panoramic video and lidar for radiological source–object attribution and improved source detection
MR Marshall, D Hellfeld, THY Joshi… - … on Nuclear Science, 2020 - ieeexplore.ieee.org
Networked detector systems can be deployed in urban environments to aid in the detection
and localization of radiological and/or nuclear material. However, effectively responding to …
and localization of radiological and/or nuclear material. However, effectively responding to …