Visual navigation in autonomous robots is usually based on video-cameras using several hundred thousands of pixels with sequential reading. Real time processing of such incoming data flows require major computing resources that would be hard to embed on a micro aerial vehicle of several grams or tens of grams. There already exist, however, lots of flying agents whose navigation performance in unknown environments is remarkable, even though they operate on a quite different basis. Birds and insects, in particular, show a unique ability to avoid obstacles and pursue preys or conspecifics. This amazing ability is due to their unique perception of the environment. Insects with their low cognitive abilities perceive their environment quite effic...
The objective of the present work is to model the locomotion dynamics of "soft robots", i.e. complia...
Anthropomorphic robots are widely used in many fields of industry to carry out repetitive tasks such...
This thesis investigates how a machine can be taught a new task from unlabeled humaninstructions, wh...
We developed an autopilot, called LORA (Lateral Optic flow Regulation Autopilot), which is inspired ...
Abstract — Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject ...
This thesis covers the topic of low cost humanoid robots localization and navigation in a dynamic un...
This thesis investigates how a machine can be taught a new task from unlabeled humaninstructions, wh...
Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject disturbance...
Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject disturbance...
This thesis covers the topic of low cost humanoid robots localization and navigation in a dynamic un...
Abstract — Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject ...
Simultaneous Localization And Mapping (SLAM) is one of the main topics investigated in the field of ...
The objective of the present work is to model the locomotion dynamics of "soft robots", i.e. complia...
In the present industrial context, there are still many tasks that cannot be fully automated, and th...
In the present industrial context, there are still many tasks that cannot be fully automated, and th...
The objective of the present work is to model the locomotion dynamics of "soft robots", i.e. complia...
Anthropomorphic robots are widely used in many fields of industry to carry out repetitive tasks such...
This thesis investigates how a machine can be taught a new task from unlabeled humaninstructions, wh...
We developed an autopilot, called LORA (Lateral Optic flow Regulation Autopilot), which is inspired ...
Abstract — Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject ...
This thesis covers the topic of low cost humanoid robots localization and navigation in a dynamic un...
This thesis investigates how a machine can be taught a new task from unlabeled humaninstructions, wh...
Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject disturbance...
Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject disturbance...
This thesis covers the topic of low cost humanoid robots localization and navigation in a dynamic un...
Abstract — Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject ...
Simultaneous Localization And Mapping (SLAM) is one of the main topics investigated in the field of ...
The objective of the present work is to model the locomotion dynamics of "soft robots", i.e. complia...
In the present industrial context, there are still many tasks that cannot be fully automated, and th...
In the present industrial context, there are still many tasks that cannot be fully automated, and th...
The objective of the present work is to model the locomotion dynamics of "soft robots", i.e. complia...
Anthropomorphic robots are widely used in many fields of industry to carry out repetitive tasks such...
This thesis investigates how a machine can be taught a new task from unlabeled humaninstructions, wh...