Navigation is a basic skill for autonomous robots. In the last years human-robot interaction has become an important research field that spans all of the robot capabilities including perception, reasoning, learning, manipulation and navigation. For navigation, the presence of humans requires novel approaches that take into account the constraints of human comfort as well as social rules. Besides these constraints, putting robots among humans opens new interaction possibilities for robots, also for navigation tasks, such as robot guides. This paper provides a survey of existing approaches to human-aware navigation and offers a general classification scheme for the presented methods.

This meta-analysis investigated the effectiveness of universal mental health prevention programs for higher education students on a range of adjustment outcomes. A systematic literature search identified 103 controlled published and unpublished interventions involving college, graduate, or professional students. As hypothesized, skill-training programs that included a supervised practice component were significantly more effective overall (mean effect size = 0.45, confidence interval (CI) = 0.39 to 0.52) compared to skill-training programs without supervised practice (0.11, CI = -0.01 to 0.22) and psychoeducational (information-only) programs (0.13, CI = 0.06 to 0.21). When comparisons on specific outcomes were possible, skill-training programs including supervised practice were significantly more effective than the other two groups of programs in reducing symptoms of depression, anxiety, stress, and general psychological distress, and in improving social-emotional skills, self-perceptions, and academic behaviors and performance. The magnitude of effects achieved in several outcome areas is comparable to or higher than that reported in other reviews of universal programs, suggesting that skill-training programs for higher education students that incorporate supervised practice now join the ranks of other effective preventive mental health interventions. This review offers several recommendations to improve the experimental rigor of future research.

College presents unique opportunities and stressors that challenge psychosocial adjustment. This 4-year longitudinal study examines multiple aspects of adjustment in 5,532 college students from immediately pre-college across each of 4 academic years. Student adjustment generally worsens across the first 2 years in the domains of psychological functioning (decreased self-esteem; increased depression, anxiety, and stress), cognitive-affective strategies (decreased active emotional coping, increased avoidant emotional coping), and social adjustment (decreased social support from friends). The latter 2 years generally witness improvement, though only recovering to pre-college levels in self-esteem and active emotional coping for women, and just the latter for men. Women experience worse initial psychological functioning (more distress and lower self-esteem), though their self-esteem recovers by the end of college. Men exhibit worse friend support and active emotional coping, and a pattern of worsening avoidant emotional coping throughout college. Current findings highlight the first 2 years as an extended transition period when prevention programs may be especially needed.

The uses of technology-delivered mental health treatment options, such as interventions delivered via computer, smart phone, or other communication or information devices, as opposed to primarily face-to-face interventions, are proliferating. However, the literature is unclear about their effectiveness as preventive interventions for higher education students, a population for whom technology-delivered interventions (TDIs) might be particularly fitting and beneficial. This meta-analytic review examines technological mental health prevention programs targeting higher education students either without any presenting problems (universal prevention) or with mild to moderate subclinical problems (indicated prevention). A systematic literature search identified 22 universal and 26 indicated controlled interventions, both published and unpublished, involving 4763 college, graduate, or professional students. As hypothesized, the overall mean effect sizes (ESs) for both universal (0.19) and indicated interventions (0.37) were statistically significant and differed significantly from each other favoring indicated interventions. Skill-training interventions, both universal (0.21) and indicated (0.31), were significant, whereas non-skill-training interventions were only significant among indicated (0.25) programs. For indicated interventions, better outcomes were obtained in those cases in which participants had access to support during the course of the intervention, either in person or through technology (e.g., email, online contact). The positive findings for both universal and indicated prevention are qualified by limitations of the current literature. To improve experimental rigor, future research should provide detailed information on the level of achieved implementation, describe participant characteristics and intervention content, explore the impact of potential moderators and mechanisms of success, collect post-intervention and follow-up data regardless of intervention completion, and use analysis strategies that allow for inclusion of cases with partially missing data.

This meta-analysis found empirical support for the effectiveness of indicated prevention programs for higher education students at risk for subsequent mental health difficulties based on their current subclinical levels of various presenting problems, such as depression, anxiety, or interpersonal difficulties. A systematic literature search identified 79 controlled published and unpublished interventions involving 4,470 college, graduate, or professional students. Programs were effective at post-intervention overall (ES = 0.49, CI [0.43, 0.55]), and for both targeted outcomes (ES = 0.58, CI [0.51, 0.64]) as well as additional nontargeted outcomes assessed in the studies (ES = 0.32, CI [0.25, 0.39]). Interventions compared with a no-intervention or a wait-list control (ES = 0.64, CI [0.57, 0.71], k = 68) demonstrated significantly larger effects overall than did interventions compared with an attention-placebo control (ES = 0.27, CI [0.11, 0.43], k = 11), although both were significant. Among the former group, modality and presenting problem emerged as significant moderators of intervention effectiveness, and among the 43 of these that assessed effectiveness at an average follow-up period of 35 weeks, the positive effects from intervention remained strong (ES = 0.59, CI [0.50, 0.68]). Overall, programs were fairly brief, attracted and retained students, were positively rated by students, and effective when administered by paraprofessionals as well as professionals. Current findings are promising and stimulate recommendations for improving future research, such as expanding the range of outcomes assessed, and clarifying moderators and mediators of intervention impact. (PsycINFO Database Record

Collision avoidance during locomotion can be achieved by a variety of strategies. While in some situations only a single trajectory will successfully avoid impact, in many cases several different strategies are possible. Locomotor experiments in the presence of static boundary conditions have suggested that the choice of an appropriate trajectory is based on a maximum-smoothness strategy. Here we analyzed locomotor trajectories of subjects avoiding collision with another human crossing their path orthogonally. In such a case, changing walking direction while keeping speed or keeping walking direction while changing speed would be two extremes of solving the problem. Our participants clearly favored changing their walking speed while keeping the path on a straight line between start and goal. To interpret this result, we calculated the costs of the chosen trajectories in terms of a smoothness-maximization criterion and simulated the trajectories with a computational model. Data analysis together with model simulation showed that the experimentally chosen trajectory to avoid collision with a moving human is not the optimally smooth solution. However, even though the trajectory is not globally smooth, it was still locally smooth. Modeling further confirmed that, in presence of the moving human, there is always a trajectory that would be smoother but would deviate from the straight line. We therefore conclude that the maximum smoothness strategy previously suggested for static environments no longer holds for locomotor path planning and execution in dynamically changing environments such as the one tested here.

The transition to college, which for the majority of youth coincides with the transition to emerging adulthood, is stressful and disruptive. Using latent growth curve modeling (LGM), this study examines the longitudinal course of psychosocial adjustment in a sample of 2,095 emerging adults, at three time-points across this transition: In the week prior to college entry and at the end of each semester of the first year. Overall, the immediate transition is characterized by steep declines in psychological well-being, cognitive-affective strengths, and social well-being as well as increases in psychological distress and cognitive-affective vulnerabilities. These setbacks generally plateau, but do not resolve, later in the year. Examining gender differences in developmental trajectories revealed that females experience additional elevations in psychological distress even after the immediate transition, while males evidenced worse baseline levels in cognitive-affective vulnerabilities, cognitive-affective strengths, and social well-being. These findings indicate the need for services that promote well-being across this challenging developmental transition.

IMPORTANCEIt is critical to evaluate the risk of comorbid psychiatric diagnoses to meet the needs of individuals with autism spectrum disorder (ASD).OBJECTIVE To examine whether individuals with ASD are at greater risk for comorbid diagnoses of depression, anxiety, or bipolar disorder. DESIGN, SETTING, AND PARTICIPANTSThis cohort study used data from a population-based birth cohort of 31 220 individuals born in Olmsted County, Minnesota, from January 1, 1976, to December 31, 2000. Patients with research-identified ASD were previously identified using a multistep process that evaluated signs and symptoms abstracted from medical and educational records. For each of the 1014 patients with ASD, 2 age-and sex-matched referents who did not meet criteria for ASD were randomly selected from the birth cohort (n = 2028). Diagnosis codes for anxiety, depression, and bipolar disorders were electronically obtained using the Rochester Epidemiological Project records-linkage system. Data analysis was performed from July 1, 2018, to April 1, 2019. MAIN OUTCOMES AND MEASURESCumulative incidence of clinically diagnosed depression, anxiety, and bipolar disorder through early adulthood in individuals with ASD compared with referents. RESULTS A total of 1014 patients with ASD (median age at last follow-up, 22.8 years [interquartile range, 18.4-28.0 years]; 747 [73.7%] male; 902 [89.0%] white) and 2028 referents (median age at last follow-up, 22.4 years [interquartile range, 18.8-26.2 years]; 1494 [73.7%] male; 1780 [87.8%] white) participated in the study. Patients with ASD were significantly more likely to have clinically diagnosed bipolar disorder (hazard ratio [HR], 9.34; 95% CI, 4.57-19.06), depression (HR, 2.81; 95% CI,, and anxiety (HR, 3.45; 95% CI, 2.96-4.01) compared with referents. Among individuals with ASD, the estimates of cumulative incidence by 30 years of age were 7.3% (95% CI, 4.8%-9.7%) for bipolar disorder, 54.1% (95% CI, 49.8%-58.0%) for depression, and 50.0% (95% CI, 46.0%-53.7%) for anxiety. Among referents, cumulative incidence estimates by 30 years of age were 0.9% (95% CI, 0.1%-1.7%) for bipolar disorder, 28.9% (95% CI, 25.7%-32.0%) for depression, and 22.2% (95% CI, 19.3%-25.0%) for anxiety. CONCLUSIONS AND RELEVANCEThe findings suggest that individuals with ASD may be at increased risk for clinically diagnosed depression, anxiety, and bipolar disorder compared with age-and sex-matched referents. This study supports the importance of early, ongoing surveillance and targeted treatments to address the psychiatric needs of individuals with ASD.