7 citations · 7 across the 5 of their papers we have counts for
6 papers
Collision Detection with Analytical Derivatives of Contact Kinematics
Anup Teejo Mathew, Anees Peringal, Daniele Caradonna +2
Differentiable contact kinematics are essential for gradient-based methods in robotics, yet the mapping from robot state to contact distance, location, and normal becomes non-smoot…
Learning User Interaction Forces using Vision for a Soft Finger Exosuit
Mohamed Irfan Refai, Abdulaziz Y. Alkayas, Anup Teejo Mathew +2
Wearable assistive devices are increasingly becoming softer. Modelling their interface with human tissue is necessary to capture transmission of dynamic assistance. However, their…
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy
Guanzhou Lan, Yuqi Yang, Anup Teejo Mathew +5
Goal-conditioned dynamic manipulation is inherently challenging due to complex system dynamics and stringent task constraints, particularly in deformable object scenarios character…
ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration
Anup Teejo Mathew, Daniel Feliu-Talegon, Yusuf Abdullahi Adamu +5
The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine…
Real-time Dynamics of Soft Manipulators with Cross-section Inflation: Application to the Octopus Muscular Hydrostat
Yuchen Sun, Anup Teejo Mathew, Imran Afgan +2
Inspired by the embodied intelligence of biological creatures like the octopus, the soft robotic arm utilizes its highly flexible structure to perform various tasks in the complex…
Analytical Derivatives for Efficient Mechanical Simulations of Hybrid Soft Rigid Robots
Anup Teejo Mathew, Frederic Boyer, Vincent Lebastard +1
Algorithms that use derivatives of governing equations have accelerated rigid robot simulations and improved their accuracy, enabling the modeling of complex, real-world capabiliti…