Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Adriana Tapus

View on Semantic Scholar

5 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Aug 2026

Learning what to Remember: Reinforcement Learning for Cost-Aware Memory in LLM Agents

Long-term memory is a critical capability for LLM-based agents, yet most current systems rely on RetrievalAugmented Generation (RAG), which stores information indiscriminately and retrieves by similarity alone. This passive approach lacks any notion of utility: it does not distinguish valuable knowledge from noise and...

Cristian-Marius Cringasu, Adriana Tapus · 0 citations
Conference Aug 2026

A POMDP-Based Framework for Humor-Aware Human-Robot Dialogue

Humor plays a crucial role in communication, influencing engagement, emotional state, and information retention. This study investigates the effect of adaptive humor in human-robot interaction (HRI) using a robot implemented within a partially observable Markov decision process (POMDP) framework. The robot dynamically...

Xiao-Xuan Hei, Adriana Tapus · 0 citations
Conference Aug 2026

When Explanations Shape Trust: Challenges for Embodied AI Systems

Technology advancements are leading to a future in which service robots are fully integrated into everyday environments. As these robots transition to being powered by LLMs, their inherently non-deterministic behavior can generate responses that appear correct and well-reasoned, even when they are not, raising challeng...

G. Gelmi, Gabriel Corsi Honorio, Nuno Kuschnaroff Barbosa et al. · 0 citations
Conference Open access Aug 2026

Design and Evaluation of a Touchscreen-Based Teleoperation Interface for Robotic Manipulators

An easy-to-implement touchscreen interface that improves performance in teleoperated surface tasks while reducing cognitive load is presented, providing a practical approach to safer and more effective manipulation in challenging environments.

Juan Jose Garcia Cardenas, Alperen Kenan, Hamidreza Raei et al. · 2 citations
#robotics Preprint Aug 2026

Remote Surfaces at Your Fingertips: Electrovibration-Based Tactile Feedback for Robot Teleoperation via Touchscreen Interfaces

Electrovibration-based tactile feedback is demonstrated to be a viable and effective modality for robot teleoperation, improving operator responsiveness and sense of presence in contact-rich manipulation tasks, with direct applicability to safety-critical domains such as nuclear maintenance.

Alperen Kenan, Juan Jose Garcia Cardenas, Adriana Tapus et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.