Advancements in Autonomous Robotics and Control

The field of autonomous robotics is witnessing significant advancements, with a focus on developing innovative control systems and locomotion methods. Researchers are exploring new approaches to achieve efficient and agile maneuverability in various environments, including aerial and terrestrial settings. Notably, the integration of sensing, actuation, and control technologies is enabling the creation of more sophisticated and adaptive robotic systems.

A key direction in this field is the development of bio-inspired robots that can harness environmental energy and adapt to changing conditions. Additionally, advancements in control theory and optimization techniques are being applied to improve the performance and efficiency of autonomous systems.

Some noteworthy papers in this area include: The paper on modular electronic microrobots demonstrates a novel approach to fabricating and controlling microrobots with on-board sensors and programmable actuators. The Floaty robot introduces a paradigm for energy-efficient aerial robotics, leveraging morphological intelligence and control to operate sustainably in challenging wind conditions.

Sources

Modular electronic microrobots with on board sensor-program steered locomotion

Fast RLS Identification Leveraging the Linearized System Sparsity: Predictive Cost Adaptive Control for Quadrotors

Analysis of Harpy's Constrained Trotting and Jumping Maneuver

FlipWalker: Jacob's Ladder toy-inspired robot for locomotion across diverse, complex terrain

Embodied Intelligence for Sustainable Flight: A Soaring Robot with Active Morphological Control

Model-Free Hovering and Source Seeking via Extremum Seeking Control: Experimental Demonstration

AERO-LQG: Aerial-Enabled Robust Optimization for LQG-Based Quadrotor Flight Controller

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