Sökning: "robotik"

Visar resultat 11 - 15 av 321 avhandlingar innehållade ordet robotik.

1. 11. Representation and Learning for Robotic Grasping, Caging, and Planning

   Författare :Johannes Andreas Stork; Danica Kragic; Wolfram Burgard; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Grasping; Caging; Planning; State Representation; Optimization; Topology; Manipulation; Reinforcement Learning; Datalogi; Computer Science;

   Sammanfattning : Robots need to grasp, handle, and manipulate objects, navigate their environment, and understand the state of the world around them. Like all artificial intelligence agents, they have to make predictions, formulate goals, reason about actions, and make plans. LÄS MER

3. 12. Robotic Manipulation under Uncertainty and Limited Dexterity

   Författare :Francisco Viña Barrientos; Danica Kragic; Yiannis Karayiannidis; Christian Smith; Ciro Natale; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

   Sammanfattning : Robotic manipulators today are mostly constrained to perform fixed, repetitive tasks. Engineers design the robot’s workcell specifically tailoredto the task, minimizing all possible uncertainties such as the location of tools and parts that the robot manipulates. LÄS MER

4. 13. Transfer-Aware Kernels, Priors and Latent Spaces from Simulation to Real Robots

   Författare :Rika Antonova; Danica Kragic; Jens Kober; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

   Sammanfattning : Consider challenging sim-to-real cases lacking high-fidelity simulators and allowing only 10-20 hardware trials. This work shows that even imprecise simulation can be beneficial if used to build transfer-aware representations. LÄS MER

5. 14. Structured Representations for Explainable Deep Learning

   Författare :Federico Baldassarre; Hossein Azizpour; Josephine Sullivan; Kevin Smith; Hamed Pirsiavash; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Datalogi; Computer Science;

   Sammanfattning : Deep learning has revolutionized scientific research and is being used to take decisions in increasingly complex scenarios. With growing power comes a growing demand for transparency and interpretability. The field of Explainable AI aims to provide explanations for the predictions of AI systems. LÄS MER

7. 15. Vision-Based In-Hand Manipulation with Limited Dexterity

   Författare :Silvia Cruciani; Danica Kragic; Joris De Schutter; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : In-hand manipulation is an action that allows for changing the grasp on an object without the need for releasing it. This action is an important component in the manipulation process and helps solving many tasks. Human hands are dexterous instruments suitable for moving an object inside the hand. LÄS MER