## 1 Introduction  
Many neurologic disorders can affect children's neuromotor development and their ability to participate actively in daily life (i.e., cerebral palsy, traumatic brain injury) impacting children's social and cognitive development and increasing disability and caregiver burden [1]. In the last decades, extensive research on rehabilitation intervention in children with neurological disorders has been conducted. The focus of rehabilitation in this context is walking and mobility [2]. For this aim, the literature has increasingly emphasized the promotion of active therapies, including intensive, repetitive, and task-specific training to enhance gait recovery and neuroplasticity, which is the ultimate factor to consider when designing personalized neurorehabilitation interventions [3; 4; 5; 6]. Neuroplasticity is the brain's ability to reorganize itself by forming new neural connections due to learning in response to new situations or changes in their environment and a mechanism to compensate for brain injury [7]. Pediatric rehabilitation presents some peculiar aspects that differentiate it from rehabilitation intervention in adulthood. Remarkably, in the developmental age, since the children's skills and competencies are not consolidated, the areas of development cannot be evaluated and treated individually. Their mutual interactions with each other should be taken into consideration. The field of neuromotor rehabilitation in children is rapidly evolving. This is confirmed by the relatively recent institution of the neuropsychomotor therapist, specialising in the motor, cognitive and emotional-relational rehabilitation of the child. In this dynamic rehabilitation context, new technologies such as robots for rehabilitation could be a valuable tool for improving and enriching rehabilitation approaches, especially when considering the specific needs of children with neurologic diseases. A robot can be defined as an electromechanical device provided with actuators, a sensor system, and a control system [8]. The ability to mobilize limbs is provided by actuators to move the robot's mechanical components in contact with the human body. Sensors acquire data on the mechanical systems and environment's state, allowing interaction with the user [9]. Finally, the control system bridges actions and perception. Robots can provide repetitive, intensive, task-oriented, and quantifiable training, essential features for a rehabilitation intervention to foster neuroplasticity and recovery in neurological patients [10; 11]. In the last two decades, their use has increased significantly in various neurological conditions to improve either upper limb function or gait and balance. Results on the effectiveness of robot-assisted rehabilitation in different fields of application are promising. However, the literature is rather heterogeneous in terms of devices used, population investigated, and type of rehabilitation interventions. Moreover, in this solid but heterogeneous body of evidence, only a small fraction of previous research focused on rehabilitation in the developmental age [12]. A recent review suggested robots' most clinically relevant features for rehabilitation [9]. Robotic devices can be classified according to their mechanical properties (i.e., end-effector systems, grounded exoskeletons, wearable exoskeletons, numbers of degrees of freedom, body segments involved), feedback modalities (i.e., haptic, visual, auditory), amount of assistance provided, and modalities of human-robot interaction (i.e., active, passive, assistive) [13]. Specifically, the exoskeleton-based devices are robots in which patient's joints and robot's mechanical structure are aligned. Consequently, the human-machine mechanical interface involves the entire limb. In contrast, the end-effector systems provide contact between the mechanical structure and patient only at the most distal segment of the involved limb (i.e., hand/foot) [12].