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Niko Kleer

3 accepted papers

2024

Bridging the Gap to Natural Language-based Grasp Predictions through Semantic Information Extraction

IROS 2024poster

Enabling multi-fingered robots to choose an appropriate grasp on an object from natural language instructions poses great difficulties for such systems. The diversity, imprecision, and limited information contained in the language make this task particularly challenging. However, speech serves human…

Cited by 0SourceScholar
2024

Towards a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning

IROS 2024poster

Robot-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems cannot accommodate individual surgeons’ unique preferences and requirements. Additionally, they primarily focus on general surgeries (e.g., l…

Cited by 1SourcecodeScholar
2022

Leveraging Publicly Available Textual Object Descriptions for Anthropomorphic Robotic Grasp Predictions

IROS 2022poster

Robotic systems using anthropomorphic end-effectors face tremendous challenges choosing a suitable pose for grasping an object. The fact that the choice of a grasp is influenced by the physical properties of an object, the intended task, and the environment results in a considerable amount of variab…

Cited by 4SourceScholar