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Disambiguation of "Roncone, Alessandro"

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Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next.

, , , , and . ConvAI@ACL, page 148-165. Association for Computational Linguistics, (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alessandro Valeri

Fluorescence resonance energy transfer between multiple chromophores studied by single-molecule spectroscopy. Uni Düsseldorf, (2009)

Alessandro Zivelonghi

Alessandro Nova

Alessandro Topa

Alessandro Manfredini

 

Other publications of authors with the same name

Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation., , , , , , , and . AAMAS, page 1831-1833. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Automatic kinematic chain calibration using artificial skin: Self-touch in the iCub humanoid robot., , , and . ICRA, page 2305-2312. IEEE, (2014)ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling., , , and . CoRR, (2024)PROST: Physical Reasoning of Objects through Space and Time., , , and . CoRR, (2021)Bilevel Optimization for Just-in-Time Robotic Kitting and Delivery via Adaptive Task Segmentation and Scheduling., , , and . RO-MAN, page 524-531. IEEE, (2022)Eyes on the Game: Deciphering Implicit Human Signals to Infer Human Proficiency, Trust, and Intent., , , , , and . CoRR, (2024)A Framework for the Systematic Evaluation of Obstacle Avoidance and Object-Aware Controllers., , , and . IROS, page 8117-8124. IEEE, (2022)Self-Contained Kinematic Calibration of a Novel Whole-Body Artificial Skin for Human-Robot Collaboration., , , , , , and . IROS, page 1778-1785. IEEE, (2021)Preference-Based Assistance Prediction for Human-Robot Collaboration Tasks., , , and . IROS, page 4441-4448. IEEE, (2018)Situated Human-Robot Collaboration: predicting intent from grounded natural language., , , , and . IROS, page 827-833. IEEE, (2018)