Humans are experts in cooperating in a smooth and proactive manner. Action and intention understanding are critical components of efficient joint action. In the context of the EU Integrated Project JAST [16] we have developed an anthropomorphic robot endowed with these cognitive capacities. This project and respective robot (ARoS) is the focus of the video. More specifically, the results illustrate crucial cognitive capacities for efficient and successful human-robot collaboration such as goal inference, error detection and anticipatory action selection. Results were considered one of the ICT "success stories"[22]
The performance of human-robot collaboration tasks can be improved by incorporating predictions of t...
International audienceMembers of a team are able to coordinate their actions by anticipating the int...
In manufacturing industry, a shift is observable towards high-mix, low-volume batches. The upcoming ...
Humans are experts in cooperating in a smooth and proactive manner. Action and intention understandi...
Humans are experts in cooperating in a smooth and proactive manner. Action and intention understand...
To enable natural and fluent human robot collaboration, it is critical for a robot to comprehend the...
International audienceCollaborative robots need to safely control their physical interaction with hu...
Humans can predict another person’s intentions from observed movement patterns when they are working...
In this chapter we present results of our ongoing research on efficient and fluent human-robot colla...
With the development of Artificial intelligence, the connected objects are extended with the predict...
Due to the rapidly increasing need of human-robot interaction (HRI), more intelligent robots are in ...
In order for autonomous robots to succeed as useful teammates for humans, it is necessary to examine...
International audienceRobots sharing their space with humans need to be proactive to be helpful. Pro...
The logic of Industry 4.0 foresees humans and robots as indistinguishable parts of a larger heteroge...
As robot capabilities increase, the complexity of controlling and manipulating them becomes complex ...
The performance of human-robot collaboration tasks can be improved by incorporating predictions of t...
International audienceMembers of a team are able to coordinate their actions by anticipating the int...
In manufacturing industry, a shift is observable towards high-mix, low-volume batches. The upcoming ...
Humans are experts in cooperating in a smooth and proactive manner. Action and intention understandi...
Humans are experts in cooperating in a smooth and proactive manner. Action and intention understand...
To enable natural and fluent human robot collaboration, it is critical for a robot to comprehend the...
International audienceCollaborative robots need to safely control their physical interaction with hu...
Humans can predict another person’s intentions from observed movement patterns when they are working...
In this chapter we present results of our ongoing research on efficient and fluent human-robot colla...
With the development of Artificial intelligence, the connected objects are extended with the predict...
Due to the rapidly increasing need of human-robot interaction (HRI), more intelligent robots are in ...
In order for autonomous robots to succeed as useful teammates for humans, it is necessary to examine...
International audienceRobots sharing their space with humans need to be proactive to be helpful. Pro...
The logic of Industry 4.0 foresees humans and robots as indistinguishable parts of a larger heteroge...
As robot capabilities increase, the complexity of controlling and manipulating them becomes complex ...
The performance of human-robot collaboration tasks can be improved by incorporating predictions of t...
International audienceMembers of a team are able to coordinate their actions by anticipating the int...
In manufacturing industry, a shift is observable towards high-mix, low-volume batches. The upcoming ...