Sökning: "Johannes Stork"
Hittade 5 avhandlingar innehållade orden Johannes Stork.
1. Representation and Learning for Robotic Grasping, Caging, and Planning
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
2. Novitiarum florae Suecicae mantissa tertia, quam venia ampliss. facult. philosoph. praeside mag. Elia Fries ... pro gradu philosophico p. p. Johannes Stork Calmariensis. In audit. Gustav. die VII Junii MDCCCXLIII H. a. m. s., IV
Sammanfattning : .... LÄS MER
3. Transfer Learning using low-dimensional Representations in Reinforcement Learning
Sammanfattning : Successful learning of behaviors in Reinforcement Learning (RL) are often learned tabula rasa, requiring many observations and interactions in the environment. Performing this outside of a simulator, in the real world, often becomes infeasible due to the large amount of interactions needed. LÄS MER
4. Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Sammanfattning : Advancements in robotics and artificial intelligence have paved the way for autonomous agents to perform complex tasks in various domains. A critical challenge in the field of robotics is enabling robots to acquire and refine skills efficiently, allowing them to adapt and excel in diverse environments. LÄS MER
5. Advancing Modeling and Tracking of Deformable Linear Objects for Real-World Applications
Sammanfattning : Deformable linear objects (DLOs), such as cables, wires, ropes, and sutures, are important components in various applications in robotics. Although automating DLO manipulation tasks through robot deployment can offer benefits in terms of cost reduction and increased efficiency, it presents difficult challenges. LÄS MER
