<p>Robot-assisted therapy has become an important component of modern neurorehabilitation. It is used in the treatment of neurological disorders such as stroke, traumatic brain injury, spinal cord injury, multiple sclerosis, and Parkinson’s disease, and includes exoskeletons, end-effector systems, and virtual reality applications. Its use is based on the principles of neuroplasticity and motor learning, according to which intensive, repetitive, and task-specific training promotes functional recovery. Particularly during the acute and early rehabilitation phases, robotic therapy enables early mobilization and high-intensity training. The greatest benefits are observed in severely affected patients with significant motor impairments, as robotic systems can facilitate movement initiation, support gait training, and help prevent complications associated with immobility. In patients with higher functional levels, robotics primarily serves as an adjunct tool to optimize complex and activities-of-daily-living-related motor functions. Despite these advantages, several limitations remain. Scientific evidence varies across clinical applications, the systems are associated with high acquisition and maintenance costs, and the transfer of training effects to everyday activities is not always guaranteed. Furthermore, robotic systems cannot replace clinical expertise, individualized treatment planning, or the therapeutic relationship between patients and healthcare professionals. Robotic therapy should therefore not be regarded as an alternative to conventional neurorehabilitation, but rather as a&#xa0;complementary tool within multimodal rehabilitation programs. Its greatest value lies in combining technological innovation with evidence-based neurorehabilitation strategies and the professional expertise of therapists.</p>