Advancements in Robotic Control and Safety

The field of robotics is witnessing significant developments in control and safety mechanisms. Researchers are exploring innovative approaches to improve the stability, adaptability, and reliability of robotic systems. A key direction is the integration of model predictive control (MPC) and machine learning techniques to enable robots to adapt to changing environments and unexpected disturbances. Another area of focus is the development of safety frameworks that can ensure collision avoidance and maintain safe interaction with humans and the environment. Noteworthy papers in this area include: Mass-Adaptive Admittance Control for Robotic Manipulators, which presents a novel approach to handling objects with unknown masses. Geometric Formulation of Unified Force-Impedance Control on SE(3) for Robotic Manipulators, which enables force tracking while guaranteeing passivity. Learning Verifiable Control Policies Using Relaxed Verification, which proposes a method for verifying control policies throughout training to ensure safety guarantees.

Sources

A Model Predictive Control Approach for Quadrotor Cruise Control

Magnecko: Design and Control of a Quadrupedal Magnetic Climbing Robot

Collision Induced Binding and Transport of Shape Changing Robot Pairs

Haptic-based Complementary Filter for Rigid Body Rotations

Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions

Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL

On relaxing the N-Reachability Implicit Requirement in NMPC Design

Distributed model predictive control without terminal cost under inexact distributed optimization

Predictive Synthesis of Control Barrier Functions and its Application to Time-Varying Constraints

Mass-Adaptive Admittance Control for Robotic Manipulators

Anytime Safe Reinforcement Learning

Learning Verifiable Control Policies Using Relaxed Verification

Geometric Formulation of Unified Force-Impedance Control on SE(3) for Robotic Manipulators

Subframework-based Bearing Rigidity Maintenance Control in Multirobot Networks

Simultaneous Collision Detection and Force Estimation for Dynamic Quadrupedal Locomotion

Unifying Complementarity Constraints and Control Barrier Functions for Safe Whole-Body Robot Control

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