works on

From the 13 of 146 papers with an AI index.

most citedImproving Autonomous Nano-drones Performance via Automated End-to-End Optimization and Deployment of DNNs

31 citations

Showing cs.ROShow all

6 papers · 1 filter

cs.RO2026

Advances, challenges, and opportunities for legged robots

Jonas Frey, Matías Mattamala, Hae-Won Park +5

Humanoid and quadrupedal robots have the potential to revolutionize the way we work, interact, and coexist with intelligent machines. To understand their effects on society and how…

cs.RO2026

Tripody: An Overconstrained 3-SPR-like Parallel Robot for High-Reach Construction Tasks

Julien Kindle, Jakub Raczy, Riccardo Balbi +3

Many ceiling construction tasks still rely on heavy serial manipulators that are difficult to deploy in cluttered interiors, motivating lightweight, field-ready alternatives that r…

cs.RO2026

Pretraining in Actor-Critic Reinforcement Learning for Locomotion

Jiale Fan, Andrei Cramariuc, Tifanny Portela +1

The paper proposes a pretraining approach that learns a proprioceptive inverse dynamics model from task‑agnostic exploration data and uses its weights to warm‑start actor‑critic re…

cs.RO2026

MOSAIC: Modular Scalable Autonomy for Intelligent Coordination of Heterogeneous Robotic Teams

David Oberacker, Julia Richter, Philip Arm +10

Mobile robots have become indispensable for exploring hostile environments, such as in space or disaster relief scenarios, but often remain limited to teleoperation by a human oper…

cs.RO2026

DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management

Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil +4

Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated impressive results for novel view synthesis with real-time rendering capabilities. However, integrating 3DGS with…

cs.RO2026

An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics

Kaixian Qu, Han Wang, Victor Klemm +2

Active perception is a fundamental problem in autonomous robotics in which the robot must decide where to move and what to sense in order to obtain the most informative observation…