Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis +7 more
wiley +1 more source
Hierarchically Accelerated Coverage Path Planning for Redundant Manipulators
Accepted as a contributed paper at the 2025 IEEE International Conference on Robotics and Automation (ICRA)
Yeping Wang, Michael Gleicher
openaire +2 more sources
Global Path Planning for Full-Area Coverage Robotic Systems by Employing an Active Genetic Algorithm
Genetic algorithm (GA), a kind of global and probabilistic optimization algorithms with high performance, have been paid broad attentions by researchers world wide and plentiful achievements have been made.This paper presents a algorithm to develop the ...
Xiao Peng Wei, Qiang Zhang, Cen Zeng
core +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function. [PDF]
Champagne Gareau J +2 more
europepmc +1 more source
Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model
Developing efficient path-planning algorithms is an essential topic in modern robotics and control theory. Autonomous rovers and wheeled and tracked robots require path generators that can efficiently cover the explorable space with minimal redundancy ...
Dmitriy Kvitko +5 more
doaj +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm. [PDF]
Lei T, Luo C, Jan GE, Bi Z.
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Coverage Path Planning Methods Focusing on Energy Efficient and Cooperative Strategies for Unmanned Aerial Vehicles. [PDF]
Fevgas G +3 more
europepmc +1 more source

