Today, learners’ interaction and collaborative task performance have attracted increasing attention from language teachers and researchers. The present study investigated whether collaborative pre-planning, task complexity manipulation, and language proficiency level play a role in learners’ interactions. To this end, 128 EFL learners from two different language proficiency levels carried out t...

We present an integrated Task-Motion Planning (TMP) framework for navigation in large-scale environments. Of late, TMP manipulation has attracted significant interest resulting a proliferation of different approaches. In contrast, received considerably less attention. Autonomous robots operating real-world complex scenarios require planning the discrete (task) space and continuous (motion) spac...

OBJECTIVE Parkinson's disease (PD) often entails impairments of executive functions, such as planning. Although widely held that these impairments arise from dopaminergic denervation of the striatum, not all executive functions are affected early on, and the underlying neural dynamics are not fully understood. In a combined longitudinal and cross-sectional study, we investigated how planning de...

With the increase of number satellites in space, satellite tracking, telemetry, and command (TT&C) is becoming more important for aerospace. This paper proposes a method low time fragmentation oriented. TT&C task planning based on Double Deep Q-Network (DDQN). mainly solves problem poor responses to emergency tasks caused by large amount fragments equipment under traditional task-planni...

With the development and maturity of autonomous driving technology, parcel terminal distribution has taken lead as an application scenario for unmanned delivery vehicles that autonomously perform task delivering packages between centres customers. The traditional model faces challenges such high costs, low efficiency time conflicts customer convenience. Considering multiple demands parcels deli...

Future manned space exploration missions will require collaborative activities with human astronaut and robotic agents. Proposed mission planning and execution architectures rely on reactive task planning, focusing on real-time information sharing between ground personnel, astronauts, and rovers. We present a planning/scheduling strategy that autonomously optimizes initial task plans/schedules ...