Results 41 to 50 of about 4,864 (239)
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Protocol-aware fuzzing of DTLS
, 2021 Communication protocols like TCP and UDP enable transfer of databetween sender and receiver during online communication. To provide security from eavesdropping, message forgery and data tampering during online communication, communication protocols ...
Ghori, Rahbar
core +2 more sources
SHFuzz: Selective Hybrid Fuzzing with Branch Scheduling Based on Binary Instrumentation
Applied Sciences, 2020 Hybrid fuzzing is a popular software testing technique that combines random fuzzing with concolic execution. It is widely used in the security domain known for its ability to find deeply hidden vulnerabilities and reach high code coverage. Hybrid fuzzing
Xianya Mi +4 more
doaj +1 more source
A Study of Grammar-Based Fuzzing Approaches [PDF]
, 2022 Fuzzing is the process of finding security vulnerabilities in code by creating inputs that will activate the exploits. Grammar-based fuzzing uses a grammar, which represents the syntax of all inputs a target program will accept, allowing the fuzzer to ...
Wu, Ziwei
core +1 more source
Efficient and Robust Standing Postures of Quadruped Robots
Advanced Robotics Research, EarlyView.A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source
Machine Learning-Based Fuzz Testing Techniques: A Survey
IEEE AccessFuzz testing is a vulnerability discovery technique that tests the robustness of target programs by providing them with unconventional data. With the rapid increase in software quantity, scale and complexity, traditional fuzzing has revealed issues such ...
Ao Zhang +4 more
doaj +1 more source
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
Advanced Robotics Research, EarlyView.The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
Fuzzing-Based Verification of Hardware Designs: A Comprehensive Survey
IEEE AccessAs modern hardware systems grow in complexity, traditional pre-silicon verification techniques increasingly struggle to expose deep corner-case behaviors and security-relevant bugs that can persist across the entire lifetime of deployed silicon.
Raghul Saravanan +4 more
doaj +1 more source
PTfuzz: Guided Fuzzing With Processor Trace Feedback
IEEE Access, 2018 Greybox fuzzing, such as american fuzzy lop (AFL), is very efficient in finding software vulnerability, which makes it the state-of-the-art fuzzing technology.
Gen Zhang +4 more
doaj +1 more source
Fuzzing With Optimized Grammar-Aware Mutation Strategies
IEEE Access, 2021 Fuzzing is a widely used technique to discover vulnerabilities in software. However, for programs requiring highly structured inputs, the byte-based mutation strategies in existing fuzzers have difficulties in generating valid inputs.
Jiale Deng +5 more
doaj +1 more source