Survey on robotic systems for internal logistics
The evolution of production systems has established major challenges in internal logistics.
In order to overcome these challenges, new automation solutions have been developed and …
In order to overcome these challenges, new automation solutions have been developed and …
A review and comparison of ontology-based approaches to robot autonomy
Within the next decades, robots will need to be able to execute a large variety of tasks
autonomously in a large variety of environments. To relax the resulting programming effort, a …
autonomously in a large variety of environments. To relax the resulting programming effort, a …
[PDF][PDF] DeepMPC: Learning deep latent features for model predictive control.
Designing controllers for tasks with complex nonlinear dynamics is extremely challenging,
time-consuming, and in many cases, infeasible. This difficulty is exacerbated in tasks such …
time-consuming, and in many cases, infeasible. This difficulty is exacerbated in tasks such …
Know rob 2.0—a 2nd generation knowledge processing framework for cognition-enabled robotic agents
In this paper we present KnowRob2, a second generation knowledge representation and
reasoning framework for robotic agents. KnowRob2 is an extension and partial redesign of …
reasoning framework for robotic agents. KnowRob2 is an extension and partial redesign of …
Tell me dave: Context-sensitive grounding of natural language to manipulation instructions
It is important for a robot to be able to interpret natural language commands given by a
human. In this paper, we consider performing a sequence of mobile manipulation tasks with …
human. In this paper, we consider performing a sequence of mobile manipulation tasks with …
A survey of knowledge representation in service robotics
Within the realm of service robotics, researchers have placed a great amount of effort into
learning, understanding, and representing motions as manipulations for task execution by …
learning, understanding, and representing motions as manipulations for task execution by …
Vision-based navigation with language-based assistance via imitation learning with indirect intervention
Abstract We present Vision-based Navigation with Language-based Assistance (VNLA), a
grounded vision-language task where an agent with visual perception is guided via …
grounded vision-language task where an agent with visual perception is guided via …
What's cookin'? interpreting cooking videos using text, speech and vision
We present a novel method for aligning a sequence of instructions to a video of someone
carrying out a task. In particular, we focus on the cooking domain, where the instructions …
carrying out a task. In particular, we focus on the cooking domain, where the instructions …
Watch-n-patch: Unsupervised understanding of actions and relations
We focus on modeling human activities comprising multiple actions in a completely
unsupervised setting. Our model learns the high-level action co-occurrence and temporal …
unsupervised setting. Our model learns the high-level action co-occurrence and temporal …
Same object, different grasps: Data and semantic knowledge for task-oriented grasping
Despite the enormous progress and generalization in robotic grasping in recent years,
existing methods have yet to scale and generalize task-oriented grasping to the same …
existing methods have yet to scale and generalize task-oriented grasping to the same …