Results 131 to 140 of about 592,034 (259)

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
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, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Negotiating climate change: Science, policy, and the invisible power embedded in public discourse in Chinese social media. [PDF]

PLoS One
Zhang K, Qu B, Huang Q.
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
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, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

A Call to Action: Engaging with the Intergovernmental Science-Policy Panel on Chemicals, Waste and Pollution. [PDF]

Environ Sci Technol
Diamond ML, Sigmund G, Ågerstrand M, Bertram MG, Ford AT, Lohmann R, Schäffer A, Starling MCVM, Soehl A, Suzuki N, Vlahos P, Venier M, Scheringer M.   +12 more
europepmc   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

National Science Policy [PDF]

Science, 1966
openaire   +2 more sources

Training integration in science, policy and practice: insights from designing and implementing integrative teaching and learning. [PDF]

Humanit Soc Sci Commun
Hoffmann S, Vienni-Baptista B.
europepmc   +1 more source

From Bench to Bureaucracy: The Path from Academic Research to Science Policy. [PDF]

DNA Cell Biol, 2022
Wirasinha RC.
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Rethinking desert definitions: Bridging the gap between science, policy, and conservation. [PDF]

Ambio
Lewin A, Murali G, Roll U, Sternberg T, Rachmilevitch S.   +4 more
europepmc   +1 more source