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cs.RO2026

Stable Transformer-Actor-Critic Model Predictive Control: A Contraction Analysis Approach

Antonio Marino, Valerio Modugno, Marco Cognetti

Actor-Critic Model Predictive Control (MPC) effectively addresses complex, non-convex control problems, but guaranteeing the closed-loop stability of sequence-based learning models…

cs.RO2026

A Progress-Aware Leader-Follower Midair Docking System for Dual-Drone Aerial Manipulation

Yifan Cai, Jan Ming Kevin Tan, Xiangqi Li +3

Reliable midair docking between small unmanned aerial vehicles (UAVs) is essential for modular aerial cooperation and manipulation, but it requires precise relative-pose control an…

cs.RO2026

An Aerial Manipulator for Perception-Driven Flower Targeting Toward Contactless Pollination in Vertical Farming

Chenzhe Jin, Zhuohang Wu, Yifan Cai +4

The decline of natural pollinators has created a major challenge for crop production in controlled indoor agriculture, particularly in vertical farming environments where natural i…

cs.RO2025

Feedback-MPPI: Fast Sampling-Based MPC via Rollout Differentiation -- Adios low-level controllers

Tommaso Belvedere, Michael Ziegltrum, Giulio Turrisi +1

Model Predictive Path Integral control is a powerful sampling-based approach suitable for complex robotic tasks due to its flexibility in handling nonlinear dynamics and non-convex…

cs.RO2025

BC-MPPI: A Probabilistic Constraint Layer for Safe Model-Predictive Path-Integral Control

Odichimnma Ezeji, Michael Ziegltrum, Giulio Turrisi +2

Model Predictive Path Integral (MPPI) control has recently emerged as a fast, gradient-free alternative to model-predictive control in highly non-linear robotic tasks, yet it offer…

cs.RO2025

Immersive Teleoperation Framework for Locomanipulation Tasks

Takuya Boehringer, Jonathan Embley-Riches, Karim Hammoud +2

Recent advancements in robotic loco-manipulation have leveraged Virtual Reality (VR) to enhance the precision and immersiveness of teleoperation systems, significantly outperformin…