The state of industrial robotics: Emerging technologies, challenges, and key research directions
L Sanneman, C Fourie, JA Shah - Foundations and Trends® …, 2021 - nowpublishers.com
Robotics and related technologies are central to the ongoing digitization and advancement
of manufacturing. In recent years, a variety of strategic initiatives around the world including …
of manufacturing. In recent years, a variety of strategic initiatives around the world including …
Hamlet: A hierarchical multimodal attention-based human activity recognition algorithm
To fluently collaborate with people, robots need the ability to recognize human activities
accurately. Although modern robots are equipped with various sensors, robust human …
accurately. Although modern robots are equipped with various sensors, robust human …
Multi-gat: A graphical attention-based hierarchical multimodal representation learning approach for human activity recognition
Recognizing human activities is one of the crucial capabilities that a robot needs to have to
be useful around people. Although modern robots are equipped with various types of …
be useful around people. Although modern robots are equipped with various types of …
Mumu: Cooperative multitask learning-based guided multimodal fusion
Multimodal sensors (visual, non-visual, and wearable) can provide complementary
information to develop robust perception systems for recognizing activities accurately …
information to develop robust perception systems for recognizing activities accurately …
Fast and unsupervised action boundary detection for action segmentation
To deal with the great number of untrimmed videos produced every day, we propose an
efficient unsupervised action segmentation method by detecting boundaries, named action …
efficient unsupervised action segmentation method by detecting boundaries, named action …
Appld: Adaptive planner parameter learning from demonstration
Existing autonomous robot navigation systems allow robots to move from one point to
another in a collision-free manner. However, when facing new environments, these systems …
another in a collision-free manner. However, when facing new environments, these systems …
Who's laughing nao? examining perceptions of failure in a humorous robot partner
Social robots are being deployed to interact with people in various scenarios, where they
are expected to in-corporate human-like conversational strategies to achieve flu-ency in …
are expected to in-corporate human-like conversational strategies to achieve flu-ency in …
A scalable approach to predict multi-agent motion for human-robot collaboration
Human motion prediction is considered a key component for enabling fluent human-robot
collaboration. The ability to anticipate the motion and subsequent intent of the partner (s) …
collaboration. The ability to anticipate the motion and subsequent intent of the partner (s) …
An adaptive agent-specific sub-optimal bounding approach for multi-agent path finding
A Multi-Agent Path Finding (MAPF) problem involves multiple agents who want to reach their
destinations without obstructing other agents. Although a MAPF problem needs to be solved …
destinations without obstructing other agents. Although a MAPF problem needs to be solved …
PoseTron: Enabling Close-Proximity Human-Robot Collaboration Through Multi-human Motion Prediction
As robots enter human workspaces, there is a crucial need for robots to understand and
predict human motion to achieve safe and fluent human-robot collaboration (HRC) …
predict human motion to achieve safe and fluent human-robot collaboration (HRC) …