https://scholar.dgist.ac.kr/handle/20.500.11750/1928 2026-04-04T23:25:10Z 2026-04-04T23:25:10Z Srujan Kumar, Arraboina Avinash, Borem Rao, Mamidi Yugandhar Boominathan, Jananipriya Hajra, Sugato Panda, Swati Kim, Hoe Joon Manojkumar, Kaliyannan Vivekananthan, Venkateswaran https://scholar.dgist.ac.kr/handle/20.500.11750/59344 2026-01-13T10:40:17Z 2025-10-31T15:00:00Z

Title: Triboelectric self-powered soft robotics: paving the way towards a sustainable future Author(s): Srujan Kumar, Arraboina; Avinash, Borem; Rao, Mamidi Yugandhar; Boominathan, Jananipriya; Hajra, Sugato; Panda, Swati; Kim, Hoe Joon; Manojkumar, Kaliyannan; Vivekananthan, Venkateswaran Abstract: The integration of triboelectric nanogenerators (TENGs) into soft robotic systems marks a significant advancement toward autonomous, self-powered, and environmentally responsive machines. TENGs offer lightweight, flexible structures capable of efficiently converting mechanical energy into electricity, supporting both on-board power generation and active sensing. This review provides a comprehensive overview of recent progress in TENG-powered soft robotics, emphasizing developments in actuation, sensing, locomotion, and intelligent interaction. Notable systems include freestanding-mode TENG-Bots, tribo-piezoelectric soft grippers, somatosensory fingers, light-responsive actuators, and electrohydrodynamic pumps each demonstrating TENGs' dual role as energy sources and control elements. Bioinspired designs, such as leech-like and star-nosed mole-inspired robots, further illustrate their potential in adaptive locomotion and nonvisual spatial perception. The integration of TENGs with soft materials and intelligent feedback architectures enables untethered, multifunctional robotic platforms with applications ranging from wearable electronics and human-machine interfaces to environmental exploration. This review also discusses current limitations, including low energy output, durability challenges, and system-level integration, while outlining future research directions in material optimization, energy storage, wireless control, and machine learning-enhanced perception. Collectively, these developments underscore the transformative impact of TENGs on the future of intelligent soft robotics.

2025-10-31T15:00:00Z Chaiyo, Pitchanunt Belal, Mohamed Ahmed Hajra, Sugato Panda, Swati Bhosale, Premkumar Sharad Keum, Hohyun Kim, Hoe Joon https://scholar.dgist.ac.kr/handle/20.500.11750/59343 2026-01-13T18:01:04Z 2025-11-30T15:00:00Z

Title: Low-cost domestic microwave synthesis of SnO2/CuO nanostructure for ethanol detection Author(s): Chaiyo, Pitchanunt; Belal, Mohamed Ahmed; Hajra, Sugato; Panda, Swati; Bhosale, Premkumar Sharad; Keum, Hohyun; Kim, Hoe Joon Abstract: Low-cost preparation of nanostructured materials is one of the important factors for the commercialization of sensors. This study reports the sustainable and low-cost synthesis of pure SnO2 and SnO2-CuO nanostructures using a domestic microwave annealing approach. The material obtained was structurally examined using X-ray diffraction and a scanning electron microscope. The pure SnO2 and SnO2-CuO inks were deposited over laser-induced graphene interdigitated electrodes. Towards the volatile organic compounds, the pure SnO2 and SnO2-CuO went through ethanol sensing. The SnO2-CuO-based sensor demonstrated strong response and selectivity for detecting ethanol at room temperature with a response of 11%, a response time of 53 s, and a recovery time of 64 s at 100 ppm of ethanol. The high response and selectivity of the sensor towards ethanol make it ideal for continuous tracking in both environmental and industrial settings.

2025-11-30T15:00:00Z Panda, Jagannath Belal, Mohamed Ahmed Jung, Ho Jin Baek, Jun Hajra, Sugato Pin, Min Wook Park, Jang Woo Panda, Swati Vivekananthan, Venkateswaran Yeo, Jeong-Gu Kim, Hoe Joon Cho, Kie Yong Jang, Seung Soon https://scholar.dgist.ac.kr/handle/20.500.11750/59342 2026-02-03T07:40:13Z 2026-01-31T15:00:00Z

Title: Defect-engineered activated bimetallic MOFs on laser-induced graphene for enhanced NO2 sensing Author(s): Panda, Jagannath; Belal, Mohamed Ahmed; Jung, Ho Jin; Baek, Jun; Hajra, Sugato; Pin, Min Wook; Park, Jang Woo; Panda, Swati; Vivekananthan, Venkateswaran; Yeo, Jeong-Gu; Kim, Hoe Joon; Cho, Kie Yong; Jang, Seung Soon Abstract: With the acceleration of global urbanization, the efficient monitoring of nitrogen dioxide (NO2), a harmful pollutant linked to respiratory and cardiovascular diseases, has become increasingly critical. However, real-time detection of NO2 remains challenging due to limited response, slow response, and poor recovery characteristics. Here, we report a flexible and high-performance NO2 sensor based on Fe-doped MOF-5, synthesized via post-synthetic modification (PSM) and transmetalation for precise Fe integration. Laser-induced graphene (LIG) is employed as a conductive and mechanically flexible substrate, significantly enhancing gas sensing performance. The resulting LIG@bimetallic MOF hybrid exhibits a hierarchical porous structure, promoting rapid gas diffusion and high analyte accessibility. As a result, the sensor achieves ultrafast and highly sensitive NO2 detection at room temperature, with one of the fastest response times and lowest detection limits reported to date. The synergistic combination of MOF engineering and LIG integration provides mechanical flexibility, microscale patternability, and robust sensing performance, offering a promising platform for next-generation wearable and environmental gas sensors.

2026-01-31T15:00:00Z Panda, Swati Hajra, Sugato Bhosale, Premkumar Sharad Belal, Mohamed Ahmed Kaja, Kushal Ruthvik Kim, Hoe Joon Lee, Kyoungtae https://scholar.dgist.ac.kr/handle/20.500.11750/59341 2026-02-03T07:40:11Z 2026-02-28T15:00:00Z

Title: Triboelectric energy harvesting from rice paper/PDMS under extreme humidity environments Author(s): Panda, Swati; Hajra, Sugato; Bhosale, Premkumar Sharad; Belal, Mohamed Ahmed; Kaja, Kushal Ruthvik; Kim, Hoe Joon; Lee, Kyoungtae Abstract: A flexible and eco-friendly triboelectric nanogenerator (TENG) based on rice paper (RP) and Polydimethylsiloxane (PDMS) was fabricated for efficient energy harvesting. The device produced a high output of 305 V, 2.6 μA current, and a charge of 29 nC. Various biomechanical energies from different body motions were harvested using the RP-PDMS TENG device. Typically, the TENG output depleted under extreme environmental conditions. Hence, the TENG device was packed using a waste polythene pouch, which enabled greater stability of electrical voltage under harsh humidity conditions (>85 % RH). This packed TENG shows great promise for self-powered wearable devices and environmentally robust energy harvesting applications.

2026-02-28T15:00:00Z