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20232026
most citedAdaptive Non-linear Centroidal MPC with Stability Guarantees for Robust Locomotion of Legged Robots

20 citations · 85 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

From Tabletop to Walking Bot: Deploying a VLA Model on a Legged Manipulator Robot

Giovanni Minelli, Antonio Langella, Giovanni B. Dessy +4

Vision-language-action (VLA) models are typically pretrained on broad, diverse datasets and subsequently fine-tuned on a comparatively small dataset tailored to a specific target r…

cs.RO2026

Gait-Dependent Effects on Quadruped Locomotion for Load-Carrying using Passive Mechanism

Giovanni B. Dessy, Claudio Semini, Victor Barasuol

Passive mechanical interfaces offer a lightweight alternative to actuated manipulators for quadruped payload carrying, but their impedance directly couples the payload dynamics wit…

cs.RO2026

Mixture-of-Experts RL for Fault-Tolerant Legged Locomotion

Giulio Turrisi, Ozan Pali, Luca Oneto +1

Legged robots deployed in planetary exploration and other remote environments must maintain reliable locomotion despite actuator failures and challenging terrain conditions. Althou…

cs.RO2026

ZiMPedance: Impedance-Aware ZMP Modeling and Control for Payload Carrying with Quadruped Robots

Giovanni B. Dessy, Lorenzo Amatucci, Victor Barasuol +1

Load transportation with quadruped robots is strongly affected by the dynamics of the physical interface between the robot and the load. Passive spring-based arms provide a lightwe…

cs.RO2026

Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation

Max Siebenborn, Daniel Ordoñez Apraez, Sophie Lueth +4

Mobile manipulation requires coordinated control of high-dimensional, bimanual robots. Imitation learning methods have been broadly used to solve these robotic tasks, yet typically…

cs.RO2026

A Proprioceptive-Only Benchmark for Quadruped State Estimation: ATE, RPE, and Runtime Trade-offs Between Filters and Smoothers

Ylenia Nisticò, João Carlos Virgolino Soares, Joan Solà +1

We compare three state-of-the-art proprioceptive state estimators for quadruped robots: MUSE [1], the Invariant Extended Kalman Filter (IEKF) [2], and the Invariant Smoother (IS) […