Results 211 to 220 of about 1,331,944 (331)

Advancing medical training with augmented reality and haptic feedback simulator: outcomes of a randomized controlled trial on lumbar puncture. [PDF]

BMC Med Educ
Felten R, Bigaut K, Wirth T, Kremer L, Gauer L, Arnold C, Ollivier I, Godet J, Scherlinger M, Dubois M, Sebbag E, De Sèze J, Gottenberg JE.   +12 more
europepmc   +1 more source

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande   +4 more
wiley   +1 more source

Simulators with Haptic Feedback in Neurosurgery: Are We Reaching the "Aviator" Type of Training? Narrative Review and Future Perspectives. [PDF]

Life (Basel)
Luglietto D, De Benedictis A, Marasi A, Rossi-Espagnet MC, Napolitano A, Capelli S, Ricciuti V, Riccio D, Marras CE.   +8 more
europepmc   +1 more source

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka   +7 more
wiley   +1 more source

Role of haptic feedback technologies and novel engineering developments for surgical training and robot-assisted surgery. [PDF]

Front Robot AI
Laga Boul-Atarass I, Rubio Manzanares Dorado M, Padillo-Eguía A, Racero-Moreno J, Eguía-Salinas I, Pereira-Arenas S, Jiménez-Rodríguez RM, Padillo-Ruiz J.   +7 more
europepmc   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

Advanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Evaluation on Human Perception of Various Vibrotactile Encoding Methods Through a High Density Haptic Feedback Interface. [PDF]

IEEE Trans Haptics
Driscoll B, Prabhu N, Lee IC, Liu M, Huang H.   +4 more
europepmc   +1 more source

A Multimodal Laser‐Induced Graphene‐Based Flexible Sensor for Soft Robotic Hand Environmental Perception

Advanced Intelligent Systems, EarlyView.
A multimodal laser‐induced graphene (LIG)‐based flexible sensor is developed to detect proximity and contact signals. Integrated into a soft robotic hand, it enables vision‐free object searching and grasping. Combined with a convolutional neural network, the system achieves accurate material and texture recognition, enhancing the capability of ...
Youning Duo, Jinxi Duan, Xinyu Hao, Kaining Tao, Xin Liu, Mingyuan Li, Xingyu Chen, Wenbo Liu, Zonghao Zuo, Li Wen   +9 more
wiley   +1 more source

Leveraging LSTM, tactile sensors, and haptic feedback to augment prosthetic control via grasp type prediction and grasp type feedback. [PDF]

Sci Rep
Zhuwawu SS, El-Hussieny H.
europepmc   +1 more source

Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback

Advanced Intelligent Systems, EarlyView.
We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park, Jaehyun Kim, Taeyeong Kim, Woosung Cho, Junchen Luo, Myeongryun Seong, Chaeyong Park, Anna Lee, Seungmoon Choi, Insang You, Unyong Jeong   +10 more
wiley   +1 more source